Better Health, Better Care, Better Value: National Expert Commission, Part 2
Bibliographic record
Abstract
In Part 1 of this column (Villeneuve and Mildon 2013), we highlighted the background, activities and final report of the National Expert Commission (NEC), and the plan for transformation outlined in its nine-point Nursing Call to Action (NEC 2012).The titling of the report was deliberate, reflecting the commissioners' intentions to call all of nursing to action, and at the same time, to support nurses calling others to join in.The commissioners were clear in their resolve that the need for significant, transformative action is urgent if we are to preserve and strengthen the public, not-for-profit, medicare system Canadians value so much.
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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 | 0.023 | 0.056 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.005 |
| Scholarly communication | 0.017 | 0.006 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.018 | 0.017 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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".