Comparing Equity Policies in Canada and Northern Ireland: Policy Learning in Two Directions?
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
Employment equity has existed in Canada for 20 years and fair employment in Northern Ireland, in its strengthened form, almost that long. A comparison of the policy frameworks begins with Northern Ireland’s adoption of Canada’s legislation as its model. Canada’s policy covers a limited proportion of its workforce and addresses disadvantage affecting women, racialized minorities, Aboriginal people, and persons with disabilities, while Northern Ireland’s policy covers most employees and targets inequality between Catholics and Protestants. Implementation and enforcement of Canada’s and Northern Ireland’s policies differ. In Northern Ireland substantial progress has been made toward employment equality between Catholics and Protestants, while in Canada the four target groups continue to face significant disadvantage. Policy learning was initially from west to east, but it is timely now to consider the case for policy learning from east to west.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.000 | 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