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Record W7038637006

Influence of Sexual Socialization, Gender Roles and Patriarchal Norms on Rape Myth Acceptance among South Asian Students in Canada

2021· dissertation· en· W7038637006 on OpenAlexaboutno aff

Bibliographic record

VenueScholarship at UWindsor (University of Windsor) · 2021
Typedissertation
Languageen
FieldComputer Science
TopicAdvanced Data Storage Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsMythologySocializationSouth asiaPerceptionNarrativeGender rolePatriarchy
DOInot available

Abstract

fetched live from OpenAlex

Sexual violence within the South Asian community in Canada is less researched than other forms of violence against women. Emphasis on the loss of chastity during sexual violence, a narrative found within the South Asian community, is a type of victim blaming that could help perpetuate rape myth acceptance among South Asian individuals.Social learning theory and the ecological systems theory point towards certain processes, attitudes, and beliefs within all cultural communities that can shape individuals’ perception on rape myths. The current study examined whether factors such as gender, sexual socialization, attitudes towards gender roles and patriarchal norms could predict levels of rape myth acceptance among students of South Asian ancestry in Canada. A diverse sample of 116 South Asian students in Canada (60 men and 56 women), born and raised in Canada and South Asia, between the ages of 17-25, completed an online quantitative survey. As expected, male students held higher levels of rape myth acceptance than female students. Beyond the effects of gender, students who held more traditional attitudes towards gender roles and endorsed patriarchal norms at higher levels also reported higher levels of rape myth acceptance. While men received more permissive messages about sex than did women, sexual socialization was unrelated to rape myth acceptance when other attitudes were considered. These findings demonstrate the influence of gender, attitudes towards gender roles and patriarchal norms in shaping levels of rape myth acceptance held among South Asian students in Canada.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.698
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0000.001
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 head0.012
GPT teacher head0.233
Teacher spread0.221 · 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.

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 routes1
Has abstractyes

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