Bibliographic record
Abstract
Quebec, June 27, 2007 – The Minister of Finance, Minister for Government Services, Minister responsible for Government Administration and Chair of the Conseil du tresor, Monique Jerome-Forget, and Philippe Couillard, Minister of Health and Social Services and Minister responsible for the Capitale-Nationale region, today unveiled the formation of the Task Force on Health Funding announced in the Budget Speech of last May 24. The task force will be chaired by Claude Castonguay. He will be assisted by two vice-chairs, namely Joanne Marcotte and Michel Venne. These appointments were made after consultation with the opposition parties. The task force will propose new approaches to ensure adequate funding of Quebec’s health system. Its mandate is to: E propose additional sources of health funding to the government; E specify the role the private sector can play in increasing access to health care and cutting wait times, while maintaining a strong public system that remains true to its values; E propose a structure that will allow for a “health account” aimed at improving the transparency of health funding, better informing the public and illustrating the mediumterm funding problem, in particular regarding the level of federal transfers for health; E examine amendments that could be suggested so that the necessary adjustments can be made to the Canada Health Act. The task force must ensure that its recommendations are compatible with the principles that have characterized Quebec’s health system since its beginning, including maintaining a strong public health care system; protection of the most disadvantaged, in particular access to care regardless of social status or income; and the maintenance of high standards of quality for the public sector and private delivery. The task force is to submit its report in December 2007. Claude Castonguay is a health and business consultant while Joanne Marcotte is a film director and Michel Venne heads the Institut du Nouveau Monde.
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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 | 0.048 | 0.040 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.009 | 0.004 |
| Scholarly communication | 0.015 | 0.004 |
| Open science | 0.006 | 0.006 |
| Research integrity | 0.014 | 0.011 |
| Insufficient payload (model declined to judge) | 0.064 | 0.031 |
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".