Enfermeiros dos grandes hospitais públicos no Rio de Janeiro: características sociodemográficas e relacionadas ao trabalho
Bibliographic record
Abstract
The study aimed at analyzing socio-demographic and working characteristics of nurses from public hospitals. It was carried out a cross-sectional study, involving 3.229 nurses from the eighteen largest public hospitals of the city of Rio de Janeiro. It was observed a feminine predominance (87.3%), with mean age of 39.9 ± 10 years. Around 7% referred having master or doctorate degree, 58.5% got their degree from public institutions and 24.5% used to work at the health sector before becoming nurses. Half the group has thought of abandoning their career, and almost a quarter is unsatisfied with their profession. Around 10% searched for a job outside nursing area in the previous month and 30% searched for a job in the same working area. Night work, engagement in more than one job and long professional work hours were more frequently found among men. The study has pointed challengeable aspects of nurses' profession. Results can subsidize support strategies to improve the working conditions in public hospitals due to their comprehensiveness.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".