MétaCan
Menu
Back to cohort

Prevention of sexual violence and domestic abuse through a university bystander intervention programme: learning from a UK feasibility study

2024· article· en· W4394741548 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Gender-Based Violence · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicSexual Assault and Victimization Studies
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaMcGill University
KeywordsIntervention (counseling)Bystander effectCoachingMedical educationPsychologyFocus groupMedicineNursingSocial psychologySociologyPsychotherapist

Abstract

fetched live from OpenAlex

In response to evidence documenting the scale and impact of sexual violence (SV) and domestic abuse (DA) in universities, Universities UK (2016) recommend implementation of a UK based bystander programme, The Intervention Initiative (TII), as a key prevention strategy. However, a recent UK review (Gaffney et al, 2023) concluded that no studies have addressed implementation issues for university-based bystander programmes. Our study explored what is required for implementation of the TII in a UK university, rather than intervention effectiveness. The intervention was delivered to undergraduate students across three school cohorts: medicine, social work and sports coaching. The study draws on pre- and post-intervention surveys to explore SV and DA knowledge, attitudes, and bystander skills. Focus groups or individual interviews with students (n=11) and staff facilitators (n=10) explored experiences of implementation, delivery and participation. Students reported positive changes across several areas and some evidence of immediate impact on behaviours, suggesting potential for wider implementation across university contexts. Barriers included professionalisation of the application of the bystander intervention, resistance to an underpinning gendered evidence base and a lack of diversity and relatability in programme materials.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.697
Threshold uncertainty score0.430

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.090
GPT teacher head0.378
Teacher spread0.288 · 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