Proposal for a National Contraceptive Coverage Plan
Bibliographic record
Abstract
Canada is the only developed country in the world that offers universal medicare, but does not offer coverage for prescription drugs, including contraceptives. Evidence shows that universal contraceptive access has proven to be both economically and socially beneficial in the long-term. Universal contraceptive access usage allows for better family planning, a decrease in the number of high-risk pregnancies, more highly educated women and improved choice in contraceptive type. Long-acting contraceptives are considered the most effective contraceptive method and can last 3-10 years. In 2015, unplanned pregnancies resulted in $320 millions dollars spent for the health care system which is preventable. Improved financial access to contraceptives would be alleviate though that universal contraceptive access but improved physical access to contraceptives is also necessary. A national contraceptive coverage plan that includes long-acting contraceptives is needed at the federal level to reduce unintended pregnancies and empower women.
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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 | 0.008 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.022 | 0.012 |
| Insufficient payload (model declined to judge) | 0.029 | 0.009 |
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".