HOW TO TEACH INCURABLE SEXUALLY TRANSMITTED INFECTIONS TO UNDERGRADUATE NURSING STUDENTS: A SCOPING REVIEW
Bibliographic record
Abstract
ABSTRACT Objective: to group and synthesize the studies that address the teaching of Incurable Sexually Transmitted Infections for undergraduate Nursing students in the world (1989-2020). Method: a scoping review according to the Joanna Briggs Institute. The search strategy was carried out in PubMed, CINAHL, Embase, Web of Science and LILACS. Two reviewers selected and extracted the data independently. Results: after searching and removing duplicates, 41 studies met the established criteria and were included. Content analysis resulted in three categories: Teaching Scenarios and Strategies; Teaching Focus; and Teaching Effectiveness. Final considerations: the educational actions were effective in increasing knowledge, reducing stigma and anxiety, and increasing sensitivity in promoting Nursing care. Teaching this theme is important in the profession’s work on epidemiological indices and in the training of Nursing students for prevention and promotion in health.
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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 | 0.021 | 0.075 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.005 |
| Bibliometrics | 0.019 | 0.016 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.002 |
| 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".