Momento normativo dos Planos Nacionais de Saúde do Brasil e do Canadá à luz de Mario Testa
Bibliographic record
Abstract
The study aims to compare the main guidelines of the National Health Plans of Brazil and Canada in the light of Mario Testa. The normative moment of both documents was analyzed, considering only the guidelines of the mentioned plans, analyzed according to the strategies of the strategic thought addressed by Mario Testa. The Atlas.ti program was used, using as keywords analysis the keywords that identify each of the guidelines as well as the three strategies: institutional, programmatic and social. As the main results we find that the national health plans of Brazil and Canada converge regarding the keywords related to care actions directly, despite the North American country planning a greater number of health surveillance activities in relation to Brazil. Both countries guide the normative moment of planning through programmatic strategies, which have intersectorial character in the Brazilian scenario. The divergences point to the intersectoral action in Brazil and the organization of care with well-defined hierarchical levels of health care. However, the predominance of program strategies in Canada makes it possible to infer that this scenario enjoys consolidation of decision-making processes, as well as ensuring the social rights of the population, resulting in specific institutional and social strategies.
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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 | 0.005 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".