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Record W4379387355 · doi:10.1177/10608265231182100

Victimhood and Blame Dialectics in Culturally Diverse Male Students’ Discussions About Sexual Assault Policies

2023· article· en· W4379387355 on OpenAlexafffundabout
KelleyAnne Malinen, Brooke VanTassel, Karen Kennedy, Emily MacLeod, Kristin O'Rourke

Bibliographic record

VenueThe Journal of Men s Studies · 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
KeywordsBlameDenialDialecticFalse accusationSexual assaultFocus groupCriminologyPsychologySocial psychologyHarassmentOpposition (politics)Suicide preventionPolitical sciencePoison controlSociologyLawMedicine

Abstract

fetched live from OpenAlex

Culture and Perspectives on Sexual Assault Policy was a qualitative, focus-group study conducted at four Canadian universities to gather culturally diverse student perspectives on university sexual violence or sexual assault policies and services. This article highlights two categories of dialectical tension expressed during several male focus groups. The Wrongful Blame Dialectic involved tension between anxieties about wrongful accusations and opposition to victim-blaming. Perceived risk of wrongful accusations was often linked to racism or ethnocentrism. The Male Victim Denial/Recognition Dialectic involved tension between denial and recognition of male sexual victimization. Male participants felt more vulnerable to wrongful accusation than to sexual violence. They felt more likely to be blamed and disbelieved, whether as respondents or complainants.

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)0.007
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.056
Threshold uncertainty score0.110

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0190.014
Scholarly communication0.0070.003
Open science0.0010.006
Research integrity0.0020.004
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 head0.075
GPT teacher head0.414
Teacher spread0.339 · 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 designQualitative
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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