Qualified Equal Opportunity and Conditional Mobility: Gender Equity and Educational Attainment in Canada
Bibliographic record
Abstract
“Equalizing opportunities”and “leveling playing fields”, policy objectives aiming to make outcomes independent of circumstance, underly the interest in generational mobility. However there is little empirical evidence that such policies have ever been effective in terms of that aim. Here it is shown that, absent any other policy objective, pure equal opportunity policies are symmetric in effect, that is while increasing upward mobility of those poor in circumstance they have the unfortunate concomitant of increasing the downward mobility of those rich in circumstance. The addition of a pseudo “Paretian-Utilitarian”policy imperative (That the inheriting generation should not be made worse off in a first order stochastic dominance sense) yields a “Qualified Equal Opportunity”or “Conditional Mobility”policy. Such policies are asymmetric in effect focusing on improving the mobility of the poorly endowed without diminishing the opportunities of the richly endowed. Their empirical assessment requires that generational mobility relationships be viewed in a different light since post policy outcomes will not in general be completely independent of circumstance and should not be evaluated against that metric. In terms of generational regression models they
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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 | 0.001 | 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 | 0.001 | 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) | 0.001 | 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 teacher head, 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".