Bibliographic record
Abstract
and eloquent supporters of single-tier health care. Many are not, and never have been. A mere decade ago, at the CMA’s annual General Council meeting, a motion declar-ing that citizens “must have the right to choose regulated private insurance for all medical services ” fell on a vote of 88 to 68.2 Focus groups conducted by the CMA in 1996 revealed a wide chasm between the strong public support for public health care and the then 78 % of physicians who believed stronger private-sector participation in health care was either very or somewhat acceptable.3 And, of course, organized medicine was heatedly opposed to the introduction of medicare in Saskatchewan in 1962. More often than not, doctors ’ organizations have strongly op-posed measures that they have subsequently embraced. In this they are no different from any other privileged group
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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 | 0.010 | 0.081 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.008 | 0.004 |
| Research integrity | 0.062 | 0.050 |
| Insufficient payload (model declined to judge) | 0.037 | 0.021 |
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".