L’impact des services de garde à contribution réduite du Québec sur le taux d’activité féminin, le revenu intérieur et les budgets gouvernementaux = Impact of Quebec’s universal low fee childcare program on female labour force participation, domestic income, and government budgets
Bibliographic record
Abstract
Résumé: Nous estimons qu’en 2008 la disponibilité de services de garde à contribution réduite au Québec a incité près de 70 000 mères de plus à détenir un emploi qu’en l’absence d’un tel programme. Sur cette base, nous calculons que le revenu intérieur (PIB) du Québec a été majoré de 5 G$. Nous procédons ensuite à une simulation de la rétroaction favorable sur les revenus autonomes perçus et les prestations versées par le gouvernement fédéral et celui du Québec. Nous en concluons que, du point de vue budgétaire, le programme des services de garde à contribution réduite est financièrement rentable pour ces deux gouvernements.||Abstract: Based on earlier studies, we estimate that in 2008 universal access to low-fee childcare in Quebec induced nearly 70,000 more mothers to hold jobs than if no such program had existed - an increase of 3.8% in women employment. By our calculation, Quebec’s domestic income (GDP) was higher by about 1.7% ($5 billion) as a result. We run a simulation of the impact of the childcare program on government own-source revenues and family transfers. We find that the tax-transfer return the federal and Quebec governments get from the program significantly exceeds its cost.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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".