A cancer control strategy and deliberative federalism: Modernizing health care and democratizing intergovernmental relations
Bibliographic record
Abstract
Abstract: This article describes the nature of, and the need for, a national strategy on cancer control. It then considers the implications of such a strategy for the working models of Canadian federalism. The ideas, structure, and process of developing the Canadian Strategy for Cancer Control involves a new model for the conduct of intergovernmental and inter‐sectoral relations, an approach we can call deliberative federalism. In this model, interest groups, professional associations, and other social actors are part of the modern state alongside cabinet parliamentary government and federalism. As a multiple partnership arrangement, the Strategy is a platform for communication between governments, non‐governmental agencies, health professionals, and cancer survivors and families. Adopting a strategy for cancer control is thus an opportunity to modernize the management of chronic diseases and to further democratize the conduct of intergovernmental relations. Sommaire: Le présent article décrit la nature et le besoin d'une stratégie nationale pour la lutte contre le cancer. Il examine ensuite les implications d'une telle stratégie pour les modèles de travail du fédéralisme canadien. Les idées, la structure et le processus concernant l'élaboration de la Stratégie canadienne de lutte contre le cancer impliquent un nouveau modèle pour les relations intergouvernementales et intersectorielles, une approche que nous pouvons nommer fédéralisme délibératif. Dans ce modèle, les groupes d'intérêts, les associations professionnelles et autres acteurs sociaux font partie de l'État moderne, aux côtés du gouvernement parlementaire et du fédéralisme. En tant que contrat de partenariat multiple, la Stratégie est une plate‐forme pour la communication entre les gouvernements, les organismes non gouvernementaux, les professíonnels de la santé et les survivants du cancer et leurs familles. L'adoption d'une stratégie de lutte contre le cancer est donc une occasion de moderniser la gestion des maladies chroniques et de démocratiser davantage les relations intergouvernementales.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".