The provision of unpaid care across cohorts and genders: A research note
Bibliographic record
Abstract
In this study, the caregiving history collected in the 2007 General Social Survey (GSS) is used to document the provision of care since the age of 15 years, the number of people helped, and the relationship with the care recipients. Using life tables, we confirm an upward trend in caregiving across birth cohorts. Unexpectedly, the findings also show that providing care starts at earlier ages in more recent cohorts—a result that appears partly linked to the emergence of new care relationships—and that the gender gap in the provision of care has widened over time.Dans le cadre de cette étude, nous examinons les soins fournis depuis l’âge de 15 ans, le nombre de personnes aidées et la nature des liens avec ces personnes en nous basant sur l’historique des soins prodigués recueilli dans l’Enquête sociale générale (ESG) de 2007. À l’aide de tables d’extinction simple, nous confirmons l’augmentation de la prestation de soins au fil des cohortes de naissance. Par ailleurs, les soins commencent de plus en plus tôt, notamment grâce à l’apparition de nouveaux types de relations d’aide, et l’écart dans la prestation de soins se creuse entre les hommes et les femmes.
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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 | 0.016 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".