Labour Markets, Family-Relevant Policies and Reproductive Behaviours: Quebec's Fertility Regimes Between 1960 and 2010
Bibliographic record
Abstract
Using the gender equity theory to study fertility trends in Quebec between 1960 and 2010, this dissertation shows that fertility outcomes are more contingent upon policies that support a gender-egalitarian division of care work, than fertility policies aimed at increasing the number of births.Changes in reproductive trends are examined using an 'institutional approach' to fertility.Accordingly, fertility outcomes are theorised as resulting from the articulation between the economic context, the sequence of key transitions in family life and the extent to which social policy allows care work to be 'demotherized'.The dissertation introduces the concept of the 'demotherization' of care work, to convey the extent to which mothers can download their care-giving responsibilities to the state, grand-parents and their partner.In the 1960s, fertility is shown to have decreased in Quebec, despite the fact that women were faced with new opportunities in public institutions.Following the Quiet Revolution, the federal and the provincial governments offered a limited set of family-relevant policies that supported 'gendered familialism', with low levels of defamilialization and demotherization.Declining fertility was the result of the lower importance of the family as a pillar institution and of women's difficulty to combine earning and caring tasks.The introduction of Quebec's first family policy in 1988 which contained a baby bonus, had a positive effect on fertility, though not because of this new measure, but because of a favorable economic context.Quebec's provincial government continued to support the motherization of care work, while simultaneously offering allowances that favoured economic defamilialization.Finally, Quebec's second family policy, introduced in 1997 (yet fully implemented in 2006), challenged the traditional gendered division of care-giving responsibilities, through the provision of universal and targeted measures that allowed care work to be demotherized.In Quebec's fertility regime moved from 'implicit familialism' to a hybrid version of 'institutional' and 'de-gendered' arrangements of care work.In that context, women were able to maintain good activity rates, along with relatively high fertility.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".