Bibliographic record
Abstract
Purpose The present study assesses how sibship size affects child quality as measured by educational attainment. Design/methodology/approach The data are from the Canadian General Social Surveys (GSS) of 1986, 1990, 1994 and 1995. The sample is restricted to the individuals born in Canada between 1946 and 1965, that is, the baby-boom generation. In addition to controlling for parental education, the sibship size is instrumented by a non-binary variable created based on the sex composition of the sibship. While most previous studies have pooled both genders, the present paper produces by gender estimates Findings The OLS estimates are statistically significant, negative and moderately large for both male and female baby boomers. When the sibship size is instrumented, the estimates indicate that one additional sibling had reduced the educational attainment of male baby boomers by almost half a year. No causal effect for the sibship size is found for female baby boomers. Originality/value This is the first paper on the effects of sibship size on educational attainment, using Canadian data.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".