Une démographie au féminin. Risques et opportunités dans les parcours de vie - A female Demography. Risks and Chances in the Life Course
Bibliographic record
Abstract
Comme l'ensemble des sciences sociales, la démographie historique a eu au cœur de ses études un féminin pourtant invisible, car caché derrière le couple, la famille ou le statut social (masculin). A l'origine de cet ouvrage se situe l'affirmation qu'il est possible et indispensable de s'intéresser aux itinéraires féminins. Il ne faut bien sûr pas les isoler artificiellement des parcours des hommes. C'est la démarche comparative et la prise en compte des interactions, de la construction des rôles genrés, qui permettent de s'interroger sur les spécificités des trajectoires, sur ce qui est propre à l'un ou l'autre genre. Existe-t-il des comportements, des risques, mais aussi des opportunités spécifiques pesant sur les parcours de vie féminins? Les 13 contributions rassemblées dans ce livre répondent à cette interrogation en se centrant d'une part sur la mobilité, les migrations, d'autre part sur la maternité. Elles couvrent une période allant du 17e au 20e siècle, en Europe et en Amérique du Nord, avec une large place accordée au Québec. Historical demography, like all the other social sciences, had women in the very core of its research agenda. Females were however hidden behind the couple, the family, or the (male) social status. This book claims that it is possible and necessary to investigate female trajectories. Of course, they cannot be artificially isolated from the male life courses. It is the comparative approach, the analysis of interactions of the construction of gender roles that highlight the specificities of biographies from a gender perspective. Do behaviors, risks but also opportunities exist that specifically affected women's life courses? The 13 contributions of this book provide several answers. They are centered on two main issues, mobility and migration on the one hand, maternity on the other hand. A period from the 17th to the 20th century is covered, in Europe and North America, with a large focus on Québec.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".