Explaining Abortion Policy Developments in New Brunswick and Prince Edward Island
Bibliographic record
Abstract
The landscape of abortion access in Canada has undergone major changes in the last two years, especially in the Maritime provinces. Long heralded as the worst provinces in Canada in which to find oneself in need of an abortion, Prince Edward Island and New Brunswick represent holdouts to the creation of substantive abortion access in Canada: no services have been available on Prince Edward Island since 1982, while New Brunswick, in response to the decriminalization of abortion in 1988, created onerous restrictions on the circumstances in which the procedure could be accessed under medicare. These barriers to access were so longstanding that they seemed to be a permanent feature of access in Canada. That is, until, in a few short years, virtually all of these barriers were lifted. Using the multiple streams approach (MSA), this article attempts to explain why these changes came about when they did, and how they were able to take effect so rapidly.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.010 | 0.005 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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 source (direct Gemma or distilled Codex), 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".