INTERNATIONALLY-EDUCATED ENGINEERS’ INSIGHTS INTO THE SOCIAL RESPONSIBILITIES EMBEDDED IN THE CANADIAN ENGINEERING PROFESSION
Bibliographic record
Abstract
Drawing from data collected as part of a larger study, this paper focusses specifically on internationally-educated engineers’ (newcomers to Canada) insights and experiences of the social role and social responsibility inherent in the Canadian engineering profession. The study participants were individuals who had completed a formal foreign credentials recognition process through a qualifications recognition program at the University of Manitoba, and who have achieved professional licensure in Manitoba. Data were collected from 23 internationally-educated engineers through long one-on-one and group interviews over a period of two years. The work uses a conceptual framework of professional practice as the development of moral conscience. The data demonstrate that through engagement with the regulatory process including right-to-title, right-to-practice, and the Code of Ethics, and through one’s day to day engineering practice, participants assimilated an understanding of the practice of professional engineering in Canada as being rooted in a professional community with explicit and stable social responsibilities.
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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 | 0.007 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.021 | 0.016 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".