Attitudes towards alcohol and alcohol-related problems: Comparison among nurses from different Brazilian health care settings
Bibliographic record
Abstract
Objective: This descriptive, exploratory study sought to compare the attitudes of nurses from different health care settings towards alcohol, alcoholism and alcoholics. Method: A total of 526 nurses working at several Brazilian health care facilities participated in this study by answering a 96-item attitude scale. The Kruskal-Wallis test was used to compare the attitudes of the participants according to their health caresetting, and a multiple comparisons test was used to identify the groups in which this difference was statistically significant. Results: The results showed that nurses working at specialized facilities displayed more positive attitudes towards alcoholics (working and interpersonal relations) and alcohol but negative attitudes towards alcoholism and its etiology when compared tothe other nurses. Conclusion: This study suggests that nurses’ attitudes towards alcohol and alcohol-related problems differ depending on the health care setting; in particular, nurses working at specialized facilities tend to show more positive attitudes than nurses working in other health care facilities toward alcohol-related problems.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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".