Participation in Adult Schooling and Its Earnings Impact in Canada
Bibliographic record
Abstract
Based on a sample drawn from Statistics Canada's Survey of Labour and Income Dynamics (SLID: 1993 to 1998 and 1996 to 2001), the study finds that young (17 to 34 years old) and single workers were more likely than older (35 to 59 years old) and married and divorced workers to participate in adult schooling and to obtain a post-secondary certificate. Workers with less than a high school education who might have the greatest need to increase their human capital investment were less likely to participate in adult education than workers with high school or more education. The study shows that male workers who obtained a post-secondary certificate while staying with the same employer generally registered higher wage and earnings gains than their counterparts who did not go back to school, regardless of age and initial level of education. On the other hand, men who obtained a certificate and switched jobs generally realized no significant return to their additional education, with the exception of young men (17 to 34 years old) who would receive significant returns to a certificate, whether they switched employer or stayed with the same employer. Obtaining a certificate generated significant wage and earnings returns for older women (aged 35 to 59) who stayed with the same employer, and significant wage returns for young women who switched employers.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".