Bibliographic record
Abstract
The purpose of this study is to explore the relationship between two sets of variables: the employment experiences, education and attitudes of mothers to child care and work on the one hand, and the experiences and attitudes of their daughters on the other. How does full-time or part-time work by their mother during specific stages of children's lives affect their occupational expectations and attainments? How do the attitudes of mothers towards child care and work influence the attitudes of their daughters? The original data set (collected in 1989) included 1209 youth, who were part of a 1971 birth cohort. The data were collected from rural and urban regions in Ontario and Nova Scotia, Canada. The first phase of research involved face-to-face interviews with youth and parent questionnaires. A follow-up study in 2000 included 730 participants, of whom 306 completed a one-page questionnaire. Participants were initially asked questions to describe their plans for family, education and occupations; in 2000, they were asked about their achievements. Results indicate that the employment, education and attitudes of mothers are important predictors of the educational and occupational plans and attainments of young women in 1989 and in 2000. Although the findings provide evidence of a link between these two sets of variables, the experiences and attitudes of young women in 2000 are comparatively different from those of their mothers 17 years earlier. Results were examined in conjunction with a life-course analysis and theories of capital. The experiences of mothers were found to be highly predictive of both the plans and experiences of their daughters. As such, maternal employment can be highly positive for the plans and attainments of young women.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".