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Record W4388203228 · doi:10.1177/08861099231208945

Culturally Diverse Female-Identified Students Discuss Sexual Assault Policies: Dialectics of Safety/Danger

2023· article· en· W4388203228 on OpenAlexafffundabout
KelleyA. Malinen, Karen Kennedy, Emily MacLeod, Brooke VanTassel, Kristin O'Rourke

Bibliographic record

VenueAffilia · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicSexual Assault and Victimization Studies
Canadian institutionsCape Breton UniversityMount Saint Vincent University
FundersSocial Sciences and Humanities Research Council of CanadaSaint Mary’s UniversityMount Saint Vincent University
KeywordsNova scotiaDialecticFocus groupCriminologySexual assaultGrounded theorySexual violenceEconomic JusticeCriminal justiceSuicide preventionSociologyPsychologyPoison controlSocial psychologyQualitative researchPolitical scienceMedicineLawSocial scienceMedical emergency

Abstract

fetched live from OpenAlex

This article presents dialectical themes that emerged from the grounded theory analysis of 42 focus groups about university sexual assault policies held at four universities in Nova Scotia, Canada. Fourteen cultural communities were represented. Data from female-identified focus groups representing five cultures is deployed to exemplify dialectical themes. When it comes to university sexual assault policies and services, students navigate conflicting needs for disclosure and privacy, justice, and protection. These tensions are intersectionally shaped by gender and culture. Our analysis and recommendations can inform practitioners, including social workers, as they support survivors/victims, particularly of campus sexual violence, in navigating the complexities of decisions about seeking support and/or justice.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.088
Threshold uncertainty score0.569

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.058
GPT teacher head0.388
Teacher spread0.330 · 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

Citations8
Published2023
Admission routes3
Has abstractyes

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