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Record W4256093791 · doi:10.32920/ryerson.14643744

"We’re Still Here, We’re Still Fighting” : The Experiences of Rural Survivors Accessing Sexual Assault Evidence Kits

2021· preprint· en· W4256093791 on OpenAlexaffabout
Katelyn Bosveld

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicSexual Assault and Victimization Studies
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsThematic analysisNarrativeService providerSexual assaultQualitative researchSexual violencePsychologyPerspective (graphical)Service (business)CriminologyPoison controlSuicide preventionSociologyMedicineMedical emergencyBusinessSocial science

Abstract

fetched live from OpenAlex

This qualitative research study explores the experiences survivors of sexual violence across rural Ontario accessing Sexual Assault Evidence Kits, as told by service providers from Sexual Assault and Domestic Violence Treatment Centres. Using a narrative thematic analysis, semi-structured interviews were completed and subsequently analyzed from an intersectional feminist perspective. The purpose of this approach was to identify themes that occurred across multiple interviews in order to understand the barriers that exist for survivors and solutions proposed by service providers in the field. Factors such as transportation, including reliance on police for transportation, are explored, as are the implications of the COVID-19 pandemic which arose partway through the research process. Additionally, implications for social work practice and service providers to survivors of sexual violence, strengths and limitations, and areas for future research 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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.091
Threshold uncertainty score0.181

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0100.008
Scholarly communication0.0030.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.125
GPT teacher head0.395
Teacher spread0.270 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2021
Admission routes2
Has abstractyes

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