Bibliographic record
Abstract
Canada is the only country with a broad public health system that does not include universal, nationwide coverage for pharmaceuticals. This omission causes real hardship to those Canadians who are not well-served by the existing patchwork of limited provincial plans and private insurance. It also represents significant forgone benefits in terms of governments' ability to negotiate drug prices, make expensive new drugs available to patients on an equitable basis, and provide integrated health services regardless of therapy type or location. This paper examines Canada's historical failure to adopt universal pharmaceutical insurance on a national basis, with particular emphasis on the role of public and elite ideas about its supposed lack of affordability. This legacy provides novel lessons about the barriers to reform and potential methods for overcoming them. The paper argues that reform is most likely to be successful if it explicitly addresses entrenched ideas about pharmacare's affordability and its place in the health system. Reform is also more likely to achieve universal coverage if it is radical, addressing various components of an effective pharmaceutical program simultaneously. In this case, an incremental approach is likely to fail because it will not allow governments to contain costs and realize the social benefits that come along with a universal program, and because it means forgoing the current promising conditions for achieving real change.
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.
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 | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.015 | 0.021 |
| Scholarly communication | 0.013 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.006 | 0.006 |
| 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".