Sterilisation and the work careers of women
Bibliographic record
Abstract
This paper uses Canadian data to study the relationship between sterilisation and the work careers of women. The study is motivated by the observation that childbearing and child rearing are the main reasons for the intermittency of womens ’work. Sterilisation may be correlated with a change in the labour market behaviour of women because it ends childbearing.There are three main findings. First, among women with children, sterilised women are more likely to work than non-sterilised women. Second, being sterilised is found to have a positive and significant effect on the earnings of women who had stopped working in the past but has an insignifican effect on the earnings of continuously employed women.Third, sterilised women and non-sterilised women do not differ in the probability that they had previously stopped working.However, among sterilised women who are currently working, most had experienced career interruptions that were initiated and completed before they became sterilised.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| 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 | 0.005 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".