Earnings and employment outcomes for male and female postsecondary graduates of coop and non‐coop programmes
Bibliographic record
Abstract
New postsecondary graduates seeking entry into the Canadian workforce may experience more favourable labour market outcomes if they augment their education with job‐related training. Employers, looking for new ways of differentiating among equally credentialed prospects, may prefer job candidates with practical training. These new realities have led to a steady increase in the availability and popularity of cooperative education programmes in Canadian colleges and universities. Few existing studies, however, have sought to examine whether or not earnings premiums or employment advantages exist for coop graduates. This paper compares the earnings and employment outcomes of postsecondary graduates with coop credentials to those with traditional, non‐coop credentials. Even once controlling for a number of factors, coop programmes provide the greatest advantage at the university level, particularly among male graduates. In terms of employment status, college males and university females experienced the greatest advantages to attending coop programmes.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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".