A Complicated Welcome: Social Workers Navigate Policy, Organizational Contexts and Socio-Cultural Dynamics Following Migration to Canada
Bibliographic record
Abstract
Canada prides itself on a reputation of being a welcoming and inclusive country, promoting a collective pride in upholding a multicultural mosaic wherein a rich diversity of ethnicities, cultures and religions co-exist. A priority of the Canadian federal government is the attraction and retention of skilled foreign workers into the labour market, and social workers have been targeted for this government initiative. Alluring though this ideal picture may be, the experiences of forty-four migrant social workers who undertook their social work education outside Canada and currently practice social work in Canada suggest significant barriers on the levels of policy, organizational context and socio-cultural dynamics. On the level of policy, participants navigated processes for immigration, recognition of foreign credentials, and licensure with the provincial regulatory body. On the level of organizational context, participants faced a range of challenges in securing social work employment. On the level of socio-cultural dynamics, participants detail the many interactive subtleties experienced as they sought to ‘fit in’ in order to connect with their new colleagues and communities. Analysis draws on the concepts of institutional and embodied cultural capital as the means though which social status is differentially available for these migrant social workers, based on the ascribed value of their citizenship characteristics, educational preparation, and practice experience. These forms of capital facilitate mobility by enabling access to opportunities and the tools to acquire status and entry to a particular class, that of the social work practitioner in Canada.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.048 | 0.015 |
| Scholarly communication | 0.014 | 0.003 |
| Open science | 0.003 | 0.012 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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 source (direct Gemma or distilled Codex), 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".