Trial, error and a time of one's own. Enrolling anew in postsecondary education as an element in the transition to adulthood in Canada
Bibliographic record
Abstract
In many societies, the transition to adulthood has become a protracted process. Postsecondary \neducation is typically seen as a cause of this protraction. However, contemporary research on the \ntransition to adulthood shows that attending postsecondary education is not a ‘mechanical’ cause \nof the protraction, but an element in the process by which young people build, drive or correct \ntheir own transition to adulthood. One of the ways by which they do this is enrolling anew in a \npostsecondary education programme after having interrupted their studies. \nWe focus on one such society, Canada, and look into the process by which young graduates and \nyoung non-graduates enrol back in postsecondary education. \nWe use data from a panel survey that enables us to follow a probabilistic sample of young Canadians from the moment they interrupt postsecondary education until the moment they enrol back \nor up to the age of 27. We use hazard models to test hypothesis about the process that leads them \nto enrol back or not. \nOur results show that, in Canada, enrolling anew is massive and that its timing and circumstances \nare compatible with the view that postsecondary education is not merely a ‘mechanical’ cause of \nthe protraction.
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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 | 0.115 | 0.413 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.009 | 0.021 |
| Scholarly communication | 0.015 | 0.006 |
| Open science | 0.006 | 0.007 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".