Ações de enfermagem em nefrologia: um referencial expandido além da concepção biologicista de saúde
Bibliographic record
Abstract
This article focuses ways of nursing performance in nephrology in the health promotion programs. Therefore, we present a theoretical referral formed by concepts of health promotion, health education and technologies. The conception of health promotion is anchored in the First International Conference documents about the subject, which took place in Ottawa, Canada in 1986. Health education is based on the empowerment paradigm, seen as a social action process that promotes people's participation in controlling their lives and health. The concept of technologies is presented in accordance with Merhy's conception, classifying them as hard technologies, light-hard and light ones. This referral will surely represent a new challenge for nurses in nephrology.
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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 | 0.020 | 0.040 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.009 | 0.009 |
| Science and technology studies | 0.006 | 0.024 |
| Scholarly communication | 0.017 | 0.020 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.009 | 0.009 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".