The experiences of service-users and approaches of frontline staff discussed in Chapter Four showed that the model of employment support delivered under quasi-market conditions was distinctly more workfarist in orientation than the type of support that was provided by not-for-profit organisations in other parts of Ireland’s mixed economy of activation. The JobPath model may not have been especially workfarist when measured against quasi-markets in other liberal welfare states. But it was nonetheless a significant departure from how the community organisations delivering LES were working with the long-term unemployed. So why did quasi-marketisation produce these policy effects? How did JobPath’s procurement model – competitive tendering, price-bidding, and performance-based contracting – spill over into organisational practices to adjust the balance between the enabling and demanding elements of activation?
These are the core questions addressed in this chapter, which zooms out from the micro-level of caseworker-client interactions to consider issues of organisational dynamics and the recruitment practices and performance measurement regimes of JobPath and LES organisations. In so doing, the chapter draws on the Irish case to engage with wider
The chapter develops the argument that both the disciplining effects of performance measurement and the fracturing effects of quasi-marketisation on the ‘professional’ identities of street-level workers are critical to understanding how marketisation reshapes agency at the street-level. It invokes the language of agency rather than the more conventionally-used term of ‘discretion’ (Maynard-Moody and Musheno, 2000; Evans, 2016) – in the sense of autonomy or decision-latitude – to emphasise that the concern is as much with a ‘politics of professionalism’ as it is with a ‘politics of discretion’. Put simply, the choices that street-level workers make when putting policy into practice are shaped as much from below by their internal ‘moral dispositions and working identities’ (Kaufman, 2020: 212) as they are disciplined from above by systems of external accountability and performance measurement. This is not to say that the disciplining effects of performance measurement are inconsequential, far from it. Simply that performance measurement is only part, albeit a key part,
Performance measurement and the politics of discretion
Research on the intersection between the two tracks of welfare reform frequently focuses on how ‘the disciplinary turn of the global workfare project has been achieved, in part, through the disciplining of street-level workers’ (Kaufman, 2020: 208). Key to this disciplining of street-level workers has been the rise of managerial surveillance and deployment of increasingly tighter forms of performance measurement to steer frontline behaviour (Dias and Maynard-Moody, 2007; Soss et al, 2013; Fuertes and Lindsay, 2016; Greer et al, 2017). Although performance measurement is often associated with the measurement of actors against specified targets reflecting organisational goals, there are several different dimensions to performance measurement. Lewis argues that performance measurement should be understood as a social structure involving a cascading ‘chain’ (2015: 9). The apex of this chain is the setting of policy and strategy by governments and organisations, and the decisions they make about what to value, the indicators that will be used to measure it, and the ‘system rules that attempt to measure what is valued’ (Lewis, 2015: 9). All these are then signalled to the ‘the measured’ who respond to measurement criteria and targets based on the understandings they develop from a variety of sources of the social structure of performance measurement in which they are embedded.
Approached as social structures in this way, performance measurement systems involve far more than systems for quantifying the processes, outputs, or outcomes produced by individuals or organisations. Among other things, they comprise the information management systems used to record data; the indicators by which people and organisations are measured (and whether their purpose is to determine payments, benchmark performance, or merely convey information);
In quasi-markets, the ‘chain of performance measurement’ (Lewis, 2015: 9) extends all the way from the government purchaser to the organisations that are contracted, to the staff working at the frontline. This is insofar as organisations which are held accountable for adhering to minimum servicing standards or which are paid by outcomes ‘will in one way or another send signals to workers about the performance expected form them’ (van Berkel and Knies, 2016: 63). In this way, the use of market governance instruments to steer delivery organisations funnels into the use of corporate governance instruments (targets, management by objectives) by organisations to internally direct their staff.
‘Supervised’ discretion
‘Part of our job, is to every time you meet the client, set a new task. And it can be as small as add something new to a CV … But because you’re expected to do a task every time you speak to someone, you can be kind of just giving them a silly task for the sake of it.’ (Carl, JobPath Advisor)
‘I would do checks on people’s customers. Their journeys, what they’re doing, what interventions have been put in place, what information, advice and guidance has been offered.’ (Trish, JobPath Manager)
‘There are structures in place, and we have to do x amount of; whether it be your tasks, put in the goals … Your centre manager ultimately at the end of the day is watching us.’ (Saoirse, JobPath Advisor)
In these examples, it was frontline workers’ adherence to work process standards rather than their achievement of outcomes that was being monitored. The focus was on activities and holding workers procedurally accountable for complying with minimum servicing standards. In terms of clients’ PPPs, advisors were expected to routinely “be sticking in a task of some sort” (Carl, JobPath Advisor) as “evidence that you’re helping the customer to progress” (Trish, JobPath Manager). This administrative record could then be used as proof to the government purchaser that “here’s their progression plan, here’s
‘The whole administration of seeing people and recording stuff on BOMi [information management system] … making sure it’s updated with information; I’m finding that all of this is detracting then from “What are we doing to get people off the dole?” … It’s like feed the Tamagotchi and forget about the core reason of why we are there.’ (Karen, LES Mediator)
Despite the parallels in the activity monitoring of JobPath and LES staff, the survey data did point to significant differences in the intensity of oversight they were subject to. JobPath managers appeared to pay closer attention to what their staff were doing on a more regular basis, with 66 per cent of JobPath staff surveyed reporting that they strongly agreed that their ‘supervisor knows a lot about the work I do day-to-day’ (see Table 5.1). This compared with just 30 per cent of LES respondents and the responses of JobPath staff also indicated that they were more likely to defer to their supervisors when
Supervisory oversight of frontline staff
The lines of authority are not clear in my work | JobPath (n = 77) |
LES (n = 111) |
---|---|---|
• Strongly agree | 2.6% | 11.7% |
• Agree | 5.2% | 9.0% |
• Neither | 2.6% | 14.4% |
• Disagree | 33.8% | 40.5% |
• Strongly disagree | 55.8% | 24.3% |
p < 0.001 (Fisher’s Exact Test) | ||
My supervisor knows a lot about the work I do day-to-day | JobPath (n = 77) |
LES (n = 110) |
• Strongly agree | 66.2% | 30.0% |
• Agree | 19.5% | 44.5% |
• Neither | 2.6% | 10.0% |
• Disagree | 5.2% | 9.1% |
• Strongly disagree | 6.5% | 6.4% |
p < 0.001 (Fisher’s Exact Test) | ||
When I come across something not covered by the procedural guide, I refer it to my supervisor | JobPath (n = 77) |
LES (n = 110) |
• Strongly agree | 55.8% | 26.4% |
• Agree | 42.9% | 52.7% |
• Neither | 0.0% | 13.6% |
• Disagree | 0.0% | 6.4% |
• Strongly disagree | 1.3% | 0.9% |
p < 0.001 (Fisher’s Exact Test) |
Targets and outcomes measurement
Turning from activity monitoring to outcomes and targets, the hope is that performance measurement will motivate people to work in more productive ways. As Behn argues, the real ‘reason that managers set performance targets is to motivate, and thus to improve’ (2003: 588). Yet performance measurement does not just result in the same things being done more efficiently or more effectively; workers also start ‘to do different things’ (van Berkel and Knies, 2016: 64). This arises from how ‘the pressures of competition, the prospects of incurring rewards or penalties, the awareness that one is being closely monitored’ (Soss et al, 2013: 126) can all work to reshape what Brodkin term’s the ‘calculus of street-level choice’ (2011: i259). Recognising this brings into view the political effects of performance measurement, and its potential to bring about far-reaching changes in the distribution of benefits, resources, and sanctions that street-level workers enact on the ground.
In the case of welfare-to-work, a core concern is the preoccupation with job placement and off-benefits metrics as the key indicators of performance. For instance, Soss, Fording, and Schram’s body of research on the intersection between performance measurement and sanctioning in the US state of Florida points to a correlation between the intensification of performance measurement and the sanctioning of welfare-to-work clients. This is both over time across the state, and between organisations subject to different degrees
In a British context, Redman and Fletcher have shown how a shift towards measuring the performance of Jobcentre Plus offices based on ‘off-benefit flows’ partly contributed to a rise in sanctioning rates within local offices. This was insofar as it was simpler for advisors to meet targets by ‘finding ways to sanction claimants and/or dissuade claims’ (Redman and Fletcher, 2021: 13), rather than focusing on moving people off benefits through supporting them into work.
Beyond sanctions, performance measurement systems may induce street-level workers to prioritise workfarist approaches through their so-called ‘tunnel vision’ effects: when actors respond to targets by zoning in on those aspects of their work that are measured at the expense of other valuable, but unmeasured, aspects of their job. The problem here for attempts to steer discretion through targets and performance measurement is the difficulty of specifying which aspects of frontline work matter, and capturing those in quantitative measures (Brodkin, 2008). If job placements or appointment attendance are primarily what is counted, street-level
The upshot is what Dias and Maynard-Moody term a ‘performance paradox’ (2007: 189). Behaviour is redirected towards the achievement of short-term outcomes ‘at the expense of longer-term’ (Talbot, 2010: 191) policy goals. The most well-documented performance paradox in the context of welfare-to-work delivery is the issue of providers and frontline staff adapting to performance measurement by ‘creaming’ their most job ready clients and ‘parking’ those they perceive as being more difficult cases. Jobseekers thus end up being targeted ‘in inverse proportion to need’ (Greer et al, 2018: 1429) with the result that public resources are withheld from the very cohorts that governments most want to activate into employment.
‘Unseen’ work
The myopic, tunnel vision effects of performance measurement are captured by the adage what gets measured gets treasured. The problem is that ‘not everything that counts can be counted’ (Asselineau et al, 2022: 7). So, critical dimensions of performance go ‘unseen’ (Brodkin, 2008: 323), as the frontline staff interviewed for this book frequently observed.
‘You hear in the ether about LES that are failing to reach targets, and they’ve been reduced to six-month contracts. So, it’s a sense of fear. What I actually find ironic is that the same fear that the Pathways to Work process has generated within clients is also getting more and more replicated within the organisations that are supposed to be servicing those clients.’ (Michael, LES Mediator)
‘The target of full-time employment was set by the powers that be to get people off [payments] … That’s nothing to do with the stepping-stone of somebody going from unemployed with an addiction, to part-time work and stable, to maybe, if they kept that going, full-time work. That whole life process doesn’t take people off the Live Register, so it doesn’t get counted … What we do is you keep an eye on the targets … And when you are doing that then you have the space to look after the more vulnerable.’ (Fiona, LES Manager)
Embedded in Fiona’s comment is a view of targets as thresholds to be satisfied – “to keep officialdom off your back” (Fiona, LES Manager) – rather than exceeded. Indeed, there were few incentives for LES staff to focus on job placements once their 30 per cent target had been met, particularly given the well-known problem of the ‘ratchet effect’: where people try to avoid over-reaching their targets so as ‘to avoid too high targets in the future’ (Talbot, 2010: 191). Confidence in being able to meet their targets gave LES staff scope to explore other progression options that weren’t officially measured. This was less possible for JobPath staff, whose targets were “not set in stone” but fluctuated monthly “according to what’s going on out there in the employment marketplace” (Norelle, Employer Liaison, JobPath).
‘Obviously because I’m from a telemarketing background – it was all targets – I suit the job well.’ (Joanna, JobPath Employer Liaison and ex-advisor) ‘[M]aybe it’s because I come from retail and I come from a target driven area, I do focus on trying to get the jobs in and trying to hit them targets. And I know there’s other people that just don’t really … they just won’t chase, chase, chase.’ (Carl, JobPath Advisor)
One or two acknowledged feeling “very conflicted” about the fact that “when you whittle it down really, it comes down to … the numbers of jobs that we get” (Saoirse, JobPath Advisor). There were “two sides to the business”, as one advisor put it, that required carefully balancing their “duty of care to the clients and to the community” against the fact “that I have to reach my job targets” (Anna, JobPath Advisor). But, generally, JobPath staff accepted the logic of performance targets as a managerial tool that “keeps you on your toes, which is good” (Liam, JobPath Advisor). Moreover, the use of performance measurement in this way extended beyond tracking whether individual workers had achieved their personal targets. Managers would also seek to motivate staff by using performance targets as means to catalyse internal competition and “a friendly rivalry” (Carl, JobPath Advisor) between staff for peer group recognition.
‘They are reasonably competitive. It’s not about the office target I don’t think. It’s about beating [their co-workers] …
That’s where I would have the fun with them … I would go “What time was your last appointment? [Name], that was a fantastic result you had today, or yesterday …you better leave early.” Then I’ll go silent. Next thing you’ll hear, “But I did [target]”. “Did you so? I didn’t notice that.” … So, we have a bit of banter about it, and they openly want to say what they achieved this week.’ (Maria, JobPath Manager)
Commodified performance
The survey data reported in Table 5.2 point to further sources of difference between the performance measurement regimes that JobPath and LES staff worked under. One particular point of difference is the degree to which JobPath staff were cognisant of ‘the commodity value of their performance’ (McGann, 2022a: 85). This in the sense that they took note of actions with clients that would produce payable employment outcomes and reported that their employer paid attention to the financial returns that they personally generated for the organisation.
Both JobPath and LES staff reported that numerical targets influenced their work, with no significant differences in their responses. However, on questions addressing the financial implications of their performance for their employer, the differences in responses were far greater. For instance, when asked whether ‘more and more the objective in this job is to maximise the organisation’s financial outcomes’, 21 per cent of JobPath respondents agreed or strongly agreed that this was the case. A small majority (52 per cent) rejected this view, although this proportion paled in comparison to the 72 per cent of LES staff who rejected the idea that ‘more and more the objective in this job is to maximise the organisation’s financial outcomes’.
Targets and performance measurement
In my job, I am NOT influenced by numerical targets | JobPath (n = 77) |
LES (n = 111) |
---|---|---|
• Strongly agree | 7.8% | 10.8% |
• Agree | 22.1% | 23.4% |
• Neither | 18.2% | 25.2% |
• Disagree | 45.5% | 32.4% |
• Strongly disagree | 6.5% | 8.1% |
p = 0.47 (Fisher’s Exact Test) | ||
I do tend to take note of actions with clients that will generate a payable outcome/reach an employment outcome target for the office | JobPath (n = 77) |
LES (n = 110) |
• Strongly agree | 11.8% | 8.2% |
• Agree | 47.4% | 24.5% |
• Neither | 26.3% | 22.7% |
• Disagree | 10.5% | 25.5% |
• Strongly disagree | 3.9% | 19.1% |
p < 0.001 (Fisher’s Exact Test) | ||
I am aware that my organisation pays attention to the income I generate by placing clients | JobPath (n = 76) |
LES (n = 110) |
• Strongly agree | 25.0% | 3.6% |
• Agree | 55.3% | 5.5% |
• Neither | 10.5% | 26.4% |
• Disagree | 5.3% | 23.6% |
• Strongly disagree | 3.9% | 40.9% |
p < 0.001 (Fisher’s Exact Test) | ||
More and more the objective in this job is to maximise the organisation’s financial outcomes | JobPath (n = 77) |
LES (n = 111) |
• Strongly agree | 6.5% | 1.8% |
• Agree | 14.3% | 6.3% |
• Neither | 27.3% | 19.8% |
• Disagree | 41.6% | 36.9% |
• Strongly disagree | 10.4% | 35.1% |
p < 0.001 (Fisher’s Exact Test) |
For JobPath staff, the principal means of achieving targets and generating business revenue is through achieving job placements. So, one logical consequence of advisors’ heightened awareness that frontline actions carried financial value – that was being monitored by their employer – could be a narrow service delivery focus on rapid job placements. Indeed, this was a concern often expressed by LES mediators and service-users about the outcomes-based payment model underpinning JobPath. Namely, that it resulted in advisors “looking for the quick fixes, get them into Tesco’s because I have target” (Catherine, LES Mediator) or that, as one service-user put it, “You could come in with a PhD and be told that you have to go work in McDonald’s” (Jim, service-user, 40s, Dublin).
To further explore this intersection between the commodification of advisors’ performance and a ‘work-first’
In short, the data suggests that it is not performance targets per se that orientates street-level workers towards workfarist strategies but the extent to which they are aware of their actions carrying financial worth for their employer. Seeing clients as commodities with exchange value corresponds with a workfarist disposition towards encouraging claimants to sell their labour to employers as quickly as possible.
Associations between commodity value of performance and ‘work-first’ disposition
Whether more important agency goal is to (1) help clients get jobs as quickly as possible or (7) raise jobseekers’ education or skill levels to get the job they want in the future | Whether would advise clients to (1) take a low-skill, low-paying job or (7) stay on benefits and wait for better opportunity | |
---|---|---|
Aware that organisation pays attention to income generated by placing clients (1. Strongly agree to 5. Strongly disagree) | rs = 0.32 | rs = 0.23 |
p < 0.001 | p = 0.002 | |
Take note of actions with clients that will generate a payable outcome/reach a target (1. Strongly agree to 5. Strongly disagree) | rs = 0.26 | rs = 0.16 |
p < 0.001 | p = 0.031 | |
Objective of job is increasingly to maximise the organisation’s financial outcomes (1. Strongly agree to 5. Strongly disagree) | rs = 0.20 | rs = 0.13 |
p = 0.007 | p = 0.093 |
Note: Adapted from McGann (2022a)
The politics of professionalism
The preceding discussion has demonstrated that one critical way in which quasi-market implementation structures reshape the agency of frontline workers is through the new systems of performance measurement that they embed within delivery organisations. The increasing accountability of workers to targets and more intensive forms of managerial oversight and performance monitoring disciplines discretion by strategically
‘Professionalism’ in activation work
Twenty years ago, Bovens and Zouridis had already described welfare agencies as ‘screen-level’ bureaucracies where contacts with citizens largely ran ‘through or in the presence of a computer screen’ (2002: 177). This was not just as means of storing information but as systems for making decisions by ‘entering responses to standardised questions into a computer programme’ (Marston, 2006: 91).
For some scholars, the processing of decisions via standardised instruments can denote a form of professional practice if such tools encode evidenced-based standards (van Berkel, 2017; van Berkel et al, 2021). Ponnert and Svensson associate such tools with the ‘audit society’ and the accountability demands of the evidence-based movement in social work ‘to demonstrate all the steps that have been taken, to follow manuals and to systematically strive for best practice’ (2015: 588). Other scholars are more critical, arguing that standardised decision protocols constrain possibilities for agency by concealing the
One way of interpreting such workforce changes is through the concepts of ‘controlled’ (Noordegraaf, 2015) or ‘organisational’ (Evetts, 2013) professionalism, which Evetts defines as a discourse of control involving ‘the increased standardisation of work procedures’ and organisation of work through ‘externalised forms of regulation and accountability measures such as target-setting and performance review’ (2013: 787). Clearly the intensification of performance measurement feeds into organisational professionalism, although it also encompasses a broader set of dynamics including processes of standardisation and de-skilling.
Organisational professionalism stands opposed to more normative concepts of ‘occupational’ (Evetts, 2011) or ‘pure’ (Noordegraaf, 2007: 765) professionalism; models that assume
Notwithstanding the hybrid nature of professionalism today, whether activation work meets the conditions of a profession is doubtful. This is despite the widening of activation to groups of citizens with more differentiated needs and resulting demands on caseworkers to make decisions about increasingly complex cases (Rice, 2017). For this reason, some scholars argue that activation work ‘should be organised and managed as professional work’ (van Berkel et al, 2021: 2) or even restricted to ‘trained social workers … given the complexity of the employment-services task and needs of clients’ (Greer et al, 2017: 110). This is indeed the case in some Nordic countries, where trained social workers continue to account for a sizeable proportion of the employment services workforce (Sadeghi and Fekjær, 2018). This has prompted much debate about the fit between ‘activation work’ and ‘professional social work values’ (Nothdurfter, 2016: 435) and whether programmes underpinned by sanctions and conditionality are compatible ‘with a professional work (or, at least, social work) repertoire’ (van Berkel and van der Aa, 2012: 497).
From quasi-marketisation to de-skilling?
So, why does competitive procurement and performance-based contracting tend to produce these effects on the frontline workforce? There are several mechanisms, some of which may be intended while others lead to de-skilling in less direct ways. First, outsourcing enables existing workforces comprised of unionised and professionalised workers to be bypassed in
Employment services are labour intensive. Staffing accounts for the lion’s share of delivery costs. So, when contracts are awarded on price and payments are mainly based on results, there is an embedded incentive for contractors to cut their staffing costs. First, to be competitive when bidding under conditions of price ‘squeezing’ (Greer et al, 2017: 111) but second, to reduce the level of financial exposure they need to assume to manage contacts with ‘back-ended’ (Shutes and Taylor, 2014) payment models. This was one of the reasons why the DSP’s decision to replace LES contracts with competitively procured Local Area Employment Services was met with such political resistance. Community sector organisations feared that they “would be out of the game” (Brenda, LES Coordinator) since they would “not be able to compete financially with the big players” (Trevor, LES Coordinator). As a union official explained, with their high fixed costs “in the form of their staff and all of that”: “they may not be able to come in as a lowest bidder. And that would be worrying because obviously then you’d have a problem about job retention and conditions and all that” (Annette, Union Official).
Performance-based contracts essentially require providers to fund service delivery upfront: sinking investments into office space, IT infrastructure, and staff against uncertain outcome payments. The more leanly and cheaply they can staff their services, the greater their chances of outbidding competitors and reducing the level of risk they need to wear. Within this context, organisations may look to recruit less qualified workers from sectors accustomed to targets rather than experienced professionals with prior sectoral experience – particularly if some tasks can be performed using standardisation tools that
Use of assessment protocols
Use answers to standard CLIENT CLASSIFICATION (profiling) or checklist when deciding how to work with a client? | JobPath (n = 76) |
LES (n = 108) |
---|---|---|
• Yes | 69.7% | 46.3% |
• No | 30.3% | 53.7% |
p = 0.002 (Fisher’s Exact Test) |
||
Influence of answers to standard set of assessment questions in determining what activities are recommended | JobPath (n = 74) |
LES (n = 107) |
• Not at all influential | 9.5% | 29.0% |
• Somewhat influential | 37.8% | 43.9% |
• Quite influential | 31.1% | 19.6% |
• Very influential | 21.6% | 7.5% |
p = 0.001 (Fisher’s Exact Test) |
There is evidence of organisations adapting to performance-based contracting in this way in the context of Ireland’s quasi-market in employment services. As shown in Table 5.4, the use of client profiling instruments was far more widespread among JobPath than LES staff. Indeed, the majority (54 per cent) of LES staff reported that they did not use such instruments whereas 70 per cent of the JobPath staff surveyed claim to use client classification instruments when working with clients. Likewise, most (53 per cent) of the JobPath staff surveyed – but only 27 per cent of LES respondents – reported that the answers to standard assessment questions were ‘quite’ or ‘very influential’ in determining what activities they recommended to clients.
‘I had to fill out this kind of questionnaire … It was all questions about myself; you know, how is my health and general kind of multiple-choice questions … I think it’s called the PPP.’ (Cormac, service-user, 40s, Limerick)
‘They had this PPP, which to me is just all metrics and numbers and graphs. I’m not sure how any of that helps me get a job, but they seemed keen to fill in these forms.’ (Padraig, service-user, 40s, Tipperary)
‘The assessment process was you sit beside this guy. He’s on a computer. He pulls up a screen with all these boxes to tick. So, it’s like, “Can you type?” Tick … “Do you have clothes to wear to an interview?” … I just felt a lot of the questions that he was asking, and ticking and ticking and ticking, there is no in-depth talk about what exactly each question entails.’ (Siobhan, service-user, 50s, Laois)
‘The person who was asking, he didn’t seem too sure of what he was doing. He just wanted to get the thing done. And the questions were so ambiguous … I kept saying, “I don’t know. There isn’t a yes or no to that one”. And he’d say, “Well, we’ll just put in this one”.’ (Laoise, service-user, 50s, Kilkenny)
Occupational fragmentation
Embedded in these criticisms of the use of assessment protocols was a perception that the advisors that service-users’ encountered “aren’t even qualified themselves” (Ray, service-user, 20s, Offaly) and that the “software system allows anyone to be a consultant” (Sarah, service-user, 40s, Limerick). In interviews, service-users recounted coming across advisors who themselves had “just come off the Dole … [and who’s] only experience had been to go through the process of being on one side of the desk” (Jim, service-user, 40s, Dublin). Some claimed to have applied to become advisors themselves, noting that “the basic requirement … was a Leaving [High-School] Certificate” (Cormac, service-user, 40s, Limerick).
While these criticisms of the competencies of advisors may have been coloured by service-users’ negative experiences of the programme, they resonate with the details of DSP inspection reports released under freedom of information to
So, although LES mediators were not professionally trained social workers per se, they resembled a quasi-professionalised workforce to the extent that professional development was valued in their field and there was accredited training available in a shared body of occupational practice. Conversely, JobPath advisors reported being trained “very much on the job” (Saoirse, JobPath Advisor) or through “two weeks’ training when we started” (Paula, JobPath Advisor). Few had worked in welfare or employment services for more than a few of years. This itself is not surprising, given JobPath only commenced in mid-2015. It does indicate, however, that providers recruited from outside the sector rather than hiring people with prior experience of working with claimants. This is further reflected in the sectors that JobPath and LES staff reported previously having worked in. For instance, just under a third (30 per cent)
Age, qualification levels, and occupational backgrounds of workers
Age | JobPath (n = 77) |
LES (n = 112) |
---|---|---|
• Under 35 | 33.8% | 3.6% |
• 35–44 | 35.1% | 13.4% |
• 45–54 | 19.5% | 48.2% |
• 55 or over | 11.7% | 34.8% |
p < 0.001 (Fisher’s Exact Test) | ||
Union member | JobPath (n = 77) |
LES (n = 111) |
• Yes | 0.0% | 66.7% |
p < 0.001 (Fisher’s Exact Test) | ||
Highest level of education | JobPath (n = 77) |
LES (n = 112) |
• Upper secondary | 23.4% | 2.7% |
• Third-level non-degree | 39.0% | 31.3% |
• Bachelor’s degree | 31.2% | 37.5% |
• Postgraduate degree | 6.5% | 27.7% |
• Other | 0.0% | 0.9% |
p < 0.001 (Fisher’s Exact Test) | ||
Years worked in welfare or employment services sector | JobPath (n = 77) |
LES (n = 112) |
• Less than 1 year | 5.2% | 2.7% |
• 1–5 years | 83.1% | 10.7% |
• More than 5 years | 11.7% | 86.6% |
p < 0.001 (Fisher’s Exact Test) | ||
Industry worked in before employment services | JobPath (n = 77) |
LES (n = 112) |
• First industry worked in | 0.0% | 7.1% |
• Accommodation and food services (hospitality) | 10.4% | 0.9% |
• Wholesale or retail trade | 15.6% | 3.6% |
• Personal services | 2.6% | 0.9% |
• Construction or manufacturing | 2.6% | 7.2% |
• Transportation and storage | 5.2% | 1.8% |
• Administrative and support services | 16.9% | 30.4% |
• Health and social work | 11.7% | 17.9% |
• Public administration, defence, or social security | 2.6% | 3.6% |
• Education | 2.6% | 11.6% |
• Information and communication | 5.2% | 8.0% |
• Financial and insurance activities | 16.9% | 3.6% |
• Other | 7.8% | 3.6% |
The Irish data on the impact of quasi-marketisation on the composition of the frontline workforce closely mirrors what Considine and colleagues observed in relation to quasi-marketisation in Australia (Considine and Lewis, 2010; Considine et al, 2015). Compared with LES staff, the workers hired to deliver JobPath were much younger, had lower qualifications, and were entirely de-collectivised (no JobPath staff whatsoever reported union membership). In the Irish case, these changes unfolded over a more compressed period. They were not brought about by temporal shifts in the demography of activation workers or the gradual neoliberal colonisation of the social services workforce. Nor were they the product of skilled professionals leaving the sector out of frustration at increasing levels of managerialism and a growing sense of discrepancy between their ‘professional moral frameworks and welfare-to-work’ (van Berkel, 2017: 26). This may happen in time. But, for now, the de-skilling of activation workers in Ireland has much more to do with contractors’ workforce selection practices in response to the demands of competitive tendering and performance-based contracting.
Whether the qualification levels, experience, and age profile of the JobPath workforce will increase as those organisations become more established remains to be seen. Admittedly, a limitation of the analysis is that the comparison is between street-level workers employed in two relatively new organisations and workers employed in organisations that have
From qualifications to dispositions
To round off discussion of the intersection between quasi-marketisation and the politics of professionalism, the chapter concludes with some tentative observations about the potential implications of these occupational dynamics for the types of worldviews and beliefs about the unemployed that case managers may bring to their jobs. For it is well known from previous studies that a key influence on street-level decision-making is the moral judgements of deservingness that frontline workers so often make about their individual clients but also broader populations of service-users (Zacka, 2017; Maynard-Moody and Musheno, 2000; McGann et al, 2022). For instance, previous Australian research suggests that frontline workers are more inclined to turn to sanctions and to adopt
The salience of these normative assessments, which are heavily informed by the circulation of welfare discourses both at a policy and organisational level, is further highlighted by Redman and Fletcher’s study of the sanctioning practices of Jobcentre Plus advisors in Britain. While ‘off-benefit flow’ targets fed into the sanctioning of claimants by advisors, so too did the stigmatising power of ‘pejorative welfare tropes’ as beliefs that claimants were workshy and even gaming the system desensitised advisors to ‘the humanity of their caseloads’ and permitted them ‘to justify punitive working practices which would likely lead to harmful outcomes’ (Redman and Fletcher, 2021: 14).
What follows are offered as tentative observations to be further explored in future research as the study data are not entirely conclusive on the extent to which the observed differences in normative understandings between JobPath and LES staff reflect differences in their professional identities and occupational backgrounds. However, studies from other jurisdictions offer some evidence that workers’ occupational backgrounds may be significant for whether they subscribe to the pathological theories of unemployment underpinning workfarist policies. For instance, research comparing the attitudes of social work professionals with case managers from other backgrounds suggests that the latter are more likely to blame unemployment on jobseekers’ lack of effort rather than more structural causes. This has been found to be the case in both Nordic (Kallio et al, 2013) and liberal (McDonald and Marston, 2008) countries.
The Irish survey data reported in Table 5.6 points to similar attitudinal differences between the JobPath and LES frontline staff. When asked which is more often to blame if a person is on benefits, a lack of effort on their part or circumstances beyond their control, a higher proportion of JobPath staff (38 per cent) blamed being on benefits on jobseekers’ lack of effort whereas
‘Some people need a bit of a; I wouldn’t call it a kick up the ass, but they need a bit of a kind of rude awakening … Generally, I’d say younger people, they need a bit of kind of an awakening that they can’t always stay like this forever. “You’re moving into your late 20s, or 30s … You can’t be sitting be home with mammy all the time … It’s time to grow up”.’ (Liam, JobPath Advisor)
‘I would have had family who would have been on social welfare, and I’m looking and I’m going “You are not bothering, you are not bothering. You don’t have to get out of bed except for the day that you collect your money”.’ (Trish, JobPath Manager)
‘You can get into a rut on Jobseeker’s Allowance … where you just think “Ah sure look, grand I’m getting my whatever payment a week, and my rent is paid and
all” … I do see it as across the board.’ (Joanna, JobPath Employer liaison and ex-advisor)
Attitudes towards welfare and unemployment
In your opinion, which is more often to blame if a person is on benefits …? | JobPath (n = 77) |
LES (n = 112) |
No degree (n = 86) |
Degree (n = 102) |
---|---|---|---|---|
1. Lack of effort | 2.6% | 3.6% | 5.8% | 1.0% |
2. | 7.8% | 2.7% | 5.8% | 3.9% |
3. | 27.3% | 20.5% | 31.4% | 16.7% |
4. | 33.8% | 33.9% | 27.9% | 38.2% |
5. | 18.2% | 16.1% | 17.4% | 16.7% |
6. | 7.8% | 13.4% | 7.0% | 14.7% |
7. Circumstances beyond their control | 2.6% | 9.8% | 4.7% | 8.8.% |
Mann-Whitney U-test | Z = 2.121 p = 0.034 | Z = -2.944 p = 0.003 | ||
Estimated percentage of claimants who would rather be on benefits than work … | JobPath (n = 77) |
LES (n = 109) |
No Degree (n = 85) |
Degree (n = 100) |
Mean | 38.5% | 32.6% | 39.9% | 30.1% |
Mann-Whitney U-test | Z = -2.2 p = 0.032 | Z = -2.994 p = 0.003 | ||
Whether there should be more government spending on benefits for unemployed people | JobPath (n = 77) |
LES (n = 111) |
No Degree (n = 85) |
Degree (n = 102) |
• Strongly agree | 6.5% | 15.3% | 7.1% | 15.7% |
• Agree | 14.3% | 26.1% | 23.5% | 19.6% |
• Neither | 18.2% | 26.1% | 24.7% | 20.6% |
• Disagree | 48.1% | 26.1% | 35.3% | 35.3% |
• Strongly disagree | 13.0% | 6.3% | 9.4% | 8.8% |
Mann-Whitney U-test | Z = -3.8 p < 0.001 |
Z = -0.673 p = 0.502 |
Whether these attitudinal differences in LES and JobPath workers’ beliefs about welfare and unemployment reflect differences in their ‘professional’ backgrounds is difficult to say. Although the data in Table 5.6 does show that respondents’ answers to these attitudinal questions differed depending on whether they held a university degree. Other than respondents’ attitudes towards increasing spending on benefits, those who reported holding a degree were more inclined towards structural rather than behavioural explanations of unemployment. For instance, among those with a university degree, the mean estimated proportion of claimants who would rather be on benefits than work was just 30 per cent compared with an estimate of almost 40 per cent among those without a degree. Similarly, only 21 per cent of frontline staff with a degree reported that a lack of effort was the reason why people were on benefits compared with 43 per cent of those without a degree.
Qualification levels, of course, are not synonymous with occupational background (respondents’ previous occupations were too varied to meaningfully compare whether this was associated with attitudinal differences). Although the interview data did suggest that LES workers’ degrees were typically associated with undertaking study in employment guidance, adult counselling, and other fields related to working with the long-term unemployed. To this extent, the differences in frontline workers’ qualification levels likely tracked differences in their professional backgrounds. In other words, it is not higher qualifications per se that potentially inoculates frontline workers against pathological theories of unemployment but accredited training in fields closely associated with employment guidance and counselling. Nonetheless, further work is needed to examine this relationship between street-level workers’ occupational backgrounds and their normative understandings of unemployment more conclusively.