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Record W1902923106 · doi:10.1136/bmj.h3242

College sexual assault defense program for women halved rape risk

2015· letter· en· W1902923106 on OpenAlexaboutno aff
Molly McCarthy

Bibliographic record

VenueBMJ · 2015
Typeletter
Languageen
FieldSocial Sciences
TopicSexual Assault and Victimization Studies
Canadian institutionsnot available
Fundersnot available
KeywordsWindsorSexual coercionSexual assaultCoercion (linguistics)PsychologyHuman sexualityStatement (logic)Sexual contactCriminologySocial psychologyClinical psychologyMedicineSuicide preventionPoison controlGender studiesFamily medicinePolitical scienceLawSociologyMedical emergencyHuman immunodeficiency virus (HIV)

Abstract

fetched live from OpenAlex

A sexual assault training program for women in their first year of college successfully halved their risk of being raped, Canadian researchers have reported in a new study in the New England Journal of Medicine .1 The training, which included instruction in verbal and physical self defense, also reduced the risk of attempted rape, attempted sexual coercion, and non-consensual sexual contact. In a statement the study’s lead author, Charlene Senn, professor of psychology and women’s studies at the University of Windsor in Windsor, Ontario, said, “What this shows us is that, while we wait for effective programs for men or for cultural shifts in attitudes to happen, there is something practical we can do to give young women the tools they need to better protect themselves from sexual assault.” It is estimated that as many as 25% of women are sexually …

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.532
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.070
GPT teacher head0.383
Teacher spread0.312 · 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.

Study designNot applicable
Domainnot available
GenreCommentary

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

Citations1
Published2015
Admission routes1
Has abstractyes

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