Readiness and regulation: perspectives of Canadian stakeholders on the labour mobility of internationally educated social workers
Bibliographic record
Abstract
Background While the scholarly literature is sparse on data and analyses from social work employers in Canada, anecdotal accounts suggest that they are eager to hire social workers who come to the field of practice as seasoned professionals in both substantive content and contextual knowledge. They cite the fast pace of the work environment, the narrowing of service provision to only the most complex situations and dynamics, and the volume of the work as the driving forces behind needing new hires to ‘hit the ground running’ (Newberry-Koroluk, 2014). There is little time or energy for an accompanying adaptation process. These stories are not surprising given that, over the past 35 years, Canadian social work has been restructured to parallel the capitalist premises that good social welfare policy and programming is that which is productive and cost-efficient, with a focus on individualism and autonomy not only for service recipients, but also for employees. The joint ideologies of neoliberalism and economic rationalism prioritise productivity and deliverables, documentation, and external accountability. This is the context in which social work employers govern agency work, and into which internationally educated social workers enter when they arrive in Canada seeking to work in the field. Similarly, there is little documentation on the experiences of regulators of the profession, those charged under legislation to enact the social work statutes in every province of Canada. As a self-regulating profession, the primary obligation is the protection of the public, which rationalises the driver for the uniformity of expectation and measurement of competence. In this chapter, we present data from both employers and regulators and seek to bring together their priorities and needs relative to the adaptation processes of internationally educated social workers. Method As part of a four-year federally funded study, Canadian researchers Pullen Sansfaçon et al engaged in qualitative interviews with 66 internationally educated social workers and held two Knowledge Exchange Fora (KEF), in Montreal and Halifax, respectively (Pullen Sansfaçon et al, 2012, 2014; Brown et al, 2015; Fulton et al, 2016). The KEF gathered social workers, both internationally and domestically educated, social work supervisors and employers, and representatives from the Quebec and Nova Scotia regulatory bodies. Data were collected via individual written reflections and focus group discussions. Focus group discussions were transcribed and analysed as components of the full data.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.014 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".