Migrant Social Workers, Foreign Credential Recognition and Securing Employment in Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Canada is a culturally diverse receiving country for transnational migration, and social workers are among the professional migrants who arrive in Canada each year. This article draws on findings from a four-year, grounded theory study on the professional adaptation processes and experiences of migrant social workers ( n = 66) in the Canadian context. Study findings highlight a range of internal (personal) attributes and external (contextual) elements that interact to serve as either protective or vulnerabilizing factors during the pre-employment phase of professional adaptation. The focus of this article is to describe the interactions of protective and vulnerabilizing factors associated with the experience of obtaining recognition of foreign credentials and securing employment as a social worker in Canada. The findings demonstrate that migrant social workers in Canada face significant barriers in these two pre-employment phases of professional adaptation. A range of research and policy implications is identified. In particular, we highlight the disconnect that exists between Canada’s migration-friendly policies, and the lack of organizational and governmental supports and services to facilitate successful labour market integration of migrant social workers.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 it