Factors Contributing to Canada's Number One International Ranking in the Proportion of Adults Who Have Attained a Community College Credential
Bibliographic record
Abstract
Canada ranks first among OECD countries in the proportion of the adult population whose highest level of education is a credential from a community college or similar type of educational institution. Canada’s rate of attainment of this type of educational credential is more than three times the average for OECD member countries, and only three member countries have rates that are more than half Canada’s rate. This paper explores the factors that contribute to Canada’s high rate of short-cycle tertiary education attainment relative to other countries. The factors examined include: the role and prevalence of short-cycle postsecondary institutions in different countries; the proportions of students who begin postsecondary education in a college rather than a university; college graduation and transfer rates; and different approaches to workforce preparation. The paper concludes with a brief discussion of some of the implications of the international differences that were explored.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".