Affirmative Action in Women's Employment: Lessons from Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The use of affirmative action to increase women's representation in employment is recognized under European Community law. The European Court of Justice has identified affirmative action permissible under EC law and what constitutes reverse discrimination, deemed incompatible with the equal treatment principle. Despite these developments, gendered occupational segregation — vertical and horizontal — persists in all member states as evidenced by enduring pay gaps. It is widely argued that we now need national measures which take advantage of the appropriate framework and requisite political will which exists at the European level. Faced with a similar challenge, the Canadian government passed the Employment Equity Act 1986 which places an obligation on federal employers to implement employment equity (affirmative action) by proactive means. Although subject to some criticism, there have been some improvements in women's representation since its introduction. This article assesses what lessons might be learned from Canada's experience.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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) | 0.000 | 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 it