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Record W4403294850 · doi:10.3928/01484834-20240529-03

Lessons in Sexual Assault and Violence: A Scoping Review of Undergraduate Nursing Education

2024· review· en· W4403294850 on OpenAlexaff
Jessica Westman, Elizabeth Keller

Bibliographic record

VenueJournal of Nursing Education · 2024
Typereview
Languageen
FieldSocial Sciences
TopicSexual Assault and Victimization Studies
Canadian institutionsSeneca Polytechnic
Fundersnot available
KeywordsSexual assaultCurriculumForensic nursingNursingSexual violencePsychologyMedicineSuicide preventionPoison controlMedical educationMedical emergencyPedagogy

Abstract

fetched live from OpenAlex

Background More than half of women and one third of men have experienced sexual violence in their lifetime. Nurses must be able to screen and treat patients who have experienced sexual assault, yet they may lack the knowledge and identification skills based on their exposure to content in their undergraduate nursing programs. This study examined the current state of the science regarding sexual assault and violence education in undergraduate nursing curricula. Method This scoping review was guided by Levac's five-step framework. Databases were searched using the key terms “nursing education” and “sexual assault education.” Results A total of 501 articles were identified; eight articles were included in the review. Themes of knowledge, confidence, and educational preparedness emerged. Conclusion Despite the importance and prevalence of sexual assault, limited educational content is provided in undergraduate nursing schools. Results urge implementing educational didactic, simulation, and clinical placement opportunities to improve nursing students' knowledge. [ J Nurs Educ . 2024;63(10):665–670.]

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.948
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.157
GPT teacher head0.546
Teacher spread0.390 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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