A Microsimulation Model to Study the Interaction between Fertility and Union Formation and Dissolution: An Application to Canada and Quebec
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Union formation and dissolution are among the main determinants explaining variations in fertility. Compared to the rest of Canada, Quebec’s marital histories are more complex and its prevalence of common-law unions much higher. The objective of this article is to examine the role of marital behaviours on fertility by comparing different indicators of fertility and conjugal life that were obtained through microsimulation. Parameters of the microsimulation model were estimated from hazard regressions performed on the marital and fertility histories collected in two retrospective longitudinal surveys: the Canadian General Social Survey (GSS) 2001 and 2006. Results show that the more complex marital histories of Quebecers can explain more than one-quarter of their fertility differences with the rest of the country.
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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 | 0.001 |
| 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 it