Mirada de la enfermera en la protección de la infancia y la juventud en riesgo, perspectiva del ensayo realizado
Bibliographic record
Abstract
Objective: to implement a project of community intervention health in ambit of the Health Centers. Methodology: it could be developed a local intervention, in order to enhance the systemic intervention network, a multidisciplinary perspective of training of several health professionals, building on a sustained basis for some time advocated by WHO and international conventions of great interest, specially, Bangkok, Jakarta and Ottawa. A project of this nature has to do with the urgent need to operationalize / standardize the intervention at the level of Primary Health Care, as first-level entities to identify, signaling and routing / resolution of this issue as emerging in the current social. Its development was directed to the nursing community as an object of study focusing on health promotion with the planning of training aimed at multidisciplinary team. We respected the International Standards for publications in accordance with the Treaty of Helsinki. Conclusion: it should be noted the recognition and the importance of the nurses’ role in the integration of work groups of such nature as a pivot element to its attainment, assuming, according to their Code of Ethics, the duty to know the populations’ needs, enhancing answers to the health problems identified, cooperating with the multidisciplinary team in programs that, assertively, respond to the needs detected in the same community.
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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 | 0.008 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".