Reducing the barriers for foreign-trained engineers: a literature review & study of the role of a bridging program in assisting engineers
Bibliographic record
Abstract
Foreign-trained engineers make up a significant number of the skilled immigrants accepted to Canada annually. This study seeks to identify the various barriers discussed in the literature that these foreign-trained engineers face in gaining licensure and successful employment in Canada. It also examines the findings from a survey conducted of previous graduates of Ryerson University's Internationally Educated Engineers Qualification Bridging (IEEQB) Program. The purpose of the research was to identify whether or not the bridging program assists foreign-trained engineers in obtaining a P.Eng license and finding employment in their fields. Twelve participants were involved in the study; the study found that the participants faced the barriers discussed in the literature. The information found in this study will be used as a stepping-stone in future research to reduce the difficulties foreign-trained engineers face and assist them to successfully integrate into the Canadian labour market.
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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 | 0.005 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".