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Record W4313287800 · doi:10.1177/00111287221143944

Gatekeepers to Justice: Police Officers’ Experiences Responding to Sexual Assault

2022· article· en· W4313287800 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCrime & Delinquency · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicSexual Assault and Victimization Studies
Canadian institutionsLakehead University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsSexual assaultCriminologyCriminal justiceEconomic JusticePsychologyProcedural justiceLaw enforcementHuman factors and ergonomicsMedical emergencyPoison controlPolitical scienceMedicineLaw

Abstract

fetched live from OpenAlex

Police officers play a central role in attaining justice for sexual assault survivors. Disclosing sexual assault is critical to attain justice and foster support, yet survivors often experience negative interactions when disclosing sexual victimization to the police. Police officers' experiences investigating sexual assault have not been explored. Qualitative methods were used to explore the experiences of police officers who respond to reports of sexual assault. Semi-structured interviews with 20 police officers were analyzed in NVIVO software and uncovered four themes, (1) Lack of Sexual Assault Training; (2) Compassion for the Victim; (3) Investigative Process, and (4) Police Distress. The first-hand accounts of police officers uncover opportunities to improve police response to sexual assault and enhance the disclosure experience of survivors.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.269
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.398
Teacher spread0.329 · 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