Changes in Economic Status and Timing of Marriage of Young Canadians
Bibliographic record
Abstract
Using the longitudinal panel data collected through the Canadian Surveys of Labour and Income Dynamics (SLID) from 1993 to1998, we examined the hypotheses that (a) higher education delays marriage; (b) labour force participation and earnings of women, like those of men, increase the likelihood of marriage; and, (c) the magnitude of the effects of education and income varies by life course stages of the youth. Analyses were done for men aged 17-19, 20-22, and 23-25 and for women aged 15-17, 18-20, and 21-23 at the start of the panel surveys. Our findings confirm our hypotheses, namely, a longer stay in school lowers the risk of marrying while greater economic well-being increases the risk. The results also show that the effects of wages and salaries are strongest among the middle cohorts of men (20-22) and women (18-20) who are at the stage of forming their own independent lives.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".