Mothers, sons and daughters: intergenerational transmission of education in Canada
Bibliographic record
Abstract
Purpose This study used data from the General Social Survey (2011) to examine the trends in intergenerational educational mobility in Canada for the 1940–1989 birth cohorts. To this end, the purpose of this study is to focus on the relationship between mothers' education and children's education. Design/methodology/approach The study estimated intergenerational regression and correlation coefficients and several mobility indices, namely, the Prais–Shorrocks index, immobility index, upward mobility index and downward mobility index. Findings The study found considerable gender differences with respect to the trends in these coefficients and indices. The study found that, over the period of study, the correlation coefficient slightly increased for sons while it decreased for daughters. The Prais–Shorrocks index, immobility index, upward mobility index and downward mobility index show that educational mobility has increased for daughters while that of sons has decreased over time. Finally, the relative educational opportunities indicators also suggest a similar result that educational mobility has increased for the daughters while it fell for the sons. Originality/value A number of studies used Canadian data to examine intergenerational educational mobility. However, no study particularly focused on the relationship between mothers' education and children's education. In recent years, women's labor force participation rate and employment rate increased significantly. Thus, it will be interesting to see how mothers' education is related to children's education in Canada.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".