Ensino sobre infecções sexualmente transmissíveis incuráveis para estudantes de graduação em enfermagem: Protocolo de revisão de escopo
Bibliographic record
Abstract
Introduction: Nurses have a fundamental role in the prevention of incurable sexually-transmitted infections; however, for their performance to be effective, quality education with adequate infrastructure is required. Objective: To map out the worldwide studies that address the teaching of incurable sexually-transmitted infections to undergraduate nursing students. Methodology: Scoping review protocol according to the Joanna Briggs Institute methodology. The search strategy will be applied to the Medical Literature Analysis and Retrieval System Online, Cumulative Index to Nursing and Allied Health Literature, Embase, Web of Science and Latin American and Caribbean Literature in Health Sciences databases, as well as to the gray literature databases (e.g., Research Gate, OpenGrey). This document will address those studies addressing the teaching of incurable sexually-transmitted infections aimed at undergraduate nursing students around the world; it will also consider the public access studies from 1981 to 2020 available. Two independent reviewers will screen the articles according to pre-defined inclusion criteria; they will also extract and analyze the data. The presentation of data will be through figures and tables according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews. Results: The results from this study will grant broad knowledge about the teaching of incurable sexually-transmitted infections to nursing students, as well as the methodologies used and their effectiveness. Conclusion: This study can contribute to the improvement of methodologies, infrastructure, and teaching curricula of incurable sexually-transmitted infections to nursing students.
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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 | 0.149 | 0.196 |
| Meta-epidemiology (narrow) | 0.003 | 0.004 |
| Meta-epidemiology (broad) | 0.005 | 0.007 |
| Bibliometrics | 0.018 | 0.012 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.006 | 0.011 |
| Research integrity | 0.007 | 0.009 |
| Insufficient payload (model declined to judge) | 0.041 | 0.011 |
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".