A comunicação e saúde e a educação popular como estratégias de concretização dos direitos
Bibliographic record
Abstract
The present work is the result of the first step of an extension project in interface with the survey, entitled Communication, education and social mobilization in the health area in the municipality of Uberaba /MG/Brasil . This project was carried out by four teachers and eight students of the course of Social Service at the Federal University of Triângulo Mineiro - UFTM, from november 2012 to December 2013. It was aimed at starting from the knowledge of health policy in Uberaba, perform activities of extension and research compromised with the realization of the right to health for all citizens. The implementation of the proposal was based on the methodology of action research. The research allowed us to identify the attitude of nanny State ahead of the public policies and the social rights.It was noted that the lack of investment in the area of health, both in infrastructure and human resources and actions to promote health and prevention of diseases. Such facts corroborate the perception of lack of healthcare service users about the health policy, the principles, objectives, and services provided by Unique Health System - SUS. In the same direction, it was found that the distancing or ignorance about the prospects of social participation and social control by the population. In the face of such occurrences the actions proposed by the extension project in interface with the research emphasized the communication and health and the popular education as a strategy for the empowerment of collective subjects.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".