Bridging the gap : a study of the Ryerson University, Chang School of Continuing Education, Internationally Educated Social Work Professionals Bridging Program
Bibliographic record
Abstract
This study examines how the Internationally Educated Social Work Professionals Bridging Program at Ryerson University facilitates the integration of Internationally Educated Social Workers (IESWs) into the Canadian labour market. Research indicates that Internationally Educated Professionals (IEPs) often face significant barriers that restrict them from effectively utilizing their foreign-obtained human capital. Occupational bridging programs are one type of program that has proven effective at increasing the employment rates of the IEPs who participate in them (Adamowicz, 2004; Dean Marie, Austin, & Zubin, 2004; Alboim, Finnie, & Meng, 2005). Through individual interviews conducted with program participants and key stakeholder representatives, this study identifies the barriers that IESWs face in the labour market, the challenges facing the IESW bridging program, and the perceived benefits of the program. The findings of this study reveal that unlike other labour market integration programs the IESWs bridging program comprehensively addresses many of the individual and systemic barriers that restrict IESWs from maximizing returns to their human capital.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.021 | 0.003 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".