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Record W2771817080 · doi:10.1177/0886260517744761

Improving Formal Support After Sexual Assault: Recommendations From Survivors Living in Poverty in Canada

2017· article· en· W2771817080 on OpenAlexaffabout
Victoria Sit, Lana Stermac

Bibliographic record

VenueJournal of Interpersonal Violence · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicSexual Assault and Victimization Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPovertyThematic analysisEmpowermentPopulationMental healthMedicineReproductive healthNursingPoison controlHelp-seekingPsychologyQualitative researchPsychiatryPolitical scienceSociologyEnvironmental health

Abstract

fetched live from OpenAlex

Despite the extensive and often long-lasting sequelae of sexual assault, a significant majority of survivors do not seek assistance from formal support sources, such as police, medical or mental health professionals, and community-based agencies. While growing attention has been directed toward understanding the help-seeking barriers faced by sexual assault survivors, few studies have explored the experiences of survivors living in poverty and how help-seeking can be improved for this marginalized population. The present study sought to understand these issues from perspectives of survivors themselves. Women sexual assault survivors who self-identified as living in poverty ( n = 15) were recruited from community-based agencies in the Greater Toronto Area, and participated in semistructured interviews focused on their personal decisions around help-seeking and broader views on access to and quality of formal assistance. Two research questions were of interest. First, what can be done to encourage service use among survivors living in poverty? Second, what is needed to improve the quality of assistance they receive? Thematic analysis revealed three key themes around which participants’ recommendations centered: (a) increased accessibility of information, (b) improved training for formal support providers, and (c) greater opportunities for empowerment. Practical implications of these findings improving the service utilization rates and experiences of formal help-seeking among marginalized women survivors of sexual assault are discussed.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.086
Threshold uncertainty score0.501

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.021
GPT teacher head0.305
Teacher spread0.284 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations9
Published2017
Admission routes2
Has abstractyes

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