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Record W3165557194 · doi:10.1177/10778012211013903

Sexual Assault: Indigenous Women’s Experiences of Not Being Believed by the Police

2021· article· en· W3165557194 on OpenAlex
Jodie Murphy-Oikonen, Lori Chambers, Karen McQueen, Alexa Hiebert, Ainsley Miller

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

VenueViolence Against Women · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicSexual Assault and Victimization Studies
Canadian institutionsLakehead University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsIndigenousDismissalSexual assaultPoison controlSuicide preventionOccupational safety and healthInjury preventionHuman factors and ergonomicsMedicineSexual abusePsychologyPsychiatryMedical emergencyPolitical science

Abstract

fetched live from OpenAlex

Rates of sexual victimization among Indigenous women are 3 times higher when compared with non-Indigenous women. The purpose of this secondary data analysis was to explore the experiences and recommendations of Indigenous women who reported sexual assault to the police and were not believed. This qualitative study of the experiences of 11 Indigenous women reflects four themes. The women experienced (a) victimization across the lifespan, (b) violent sexual assault, (c) dismissal by police, and (d) survival and resilience. These women were determined to voice their experience and make recommendations for change in the way police respond to sexual assault.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.899

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
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 head0.018
GPT teacher head0.297
Teacher spread0.279 · 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