Married-Couple Family Earnings Inequality in Canada and the U.S.
Why this work is in the frame
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Bibliographic record
Abstract
financial support. We study earnings inequality amongst young married couples in Canada and the U.S. over the period between 1971 and 1999. In the 1970s women married to higher income men were less likely to work for pay than women married to lower income men. Thus women's earnings tended to make the distribution of earnings among married couples more equal. Over the following two decades the relationship between the earnings of wives and husbands changed. By the mid-1990s, controlling for age and educational attainment of both spouses, another dollar of husband's earnings was much less likely to be associated with a reduction in wife's earnings; in fact, in Canada, it was associated with a significant increase in wife's earnings. We conclude that the change in the relationship between spousal earnings contributed significantly to an increase in earnings inequality among young married couples in both Canada and the U.S.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it