Readiness and regulation: perspectives of Canadian stakeholders on the labour mobility of internationally educated social workers
Bibliographic record
Abstract
This chapter synthesises the data from two knowledge exchange fora where the findings of a four-year research study funded by the Social Science and Humanities Research Council (SSHRC) were shared with, and subsequently responded to by, social work employers and provincial regulators as well as internationally educated social workers. The key themes of knowledge, values, and skill transfer, cultural adaptations, and understanding of the Canadian social welfare system align with the priorities of migrant social workers themselves (Pullen Sansfaçon et al, 2014), suggesting a congruence of central concerns. At the same time, tensions exist between the actual, lived experiences of the social workers and the expectations and practices of the stakeholder group. In this chapter we analyse these points of convergence and divergence, shaped as they are by Canadian social welfare’s prevailing neoliberal ideology and its structural manifestations brought to bear on social work service employers, supervisors, and regulatory bodies.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".