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Record W2932246462

Racialized Women’s Experiences of Sexual Violence and Harassment in Higher Education: Challenging the Myth of Canadian Multiculturalism

2018· article· en· W2932246462 on OpenAlexaffabout
Shirin Abdmolaei

Bibliographic record

Venue2019 Conference of the Canadian Society for the Study of Education · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicSexual Assault and Victimization Studies
Canadian institutionsWestern University
Fundersnot available
KeywordsHarassmentGender studiesIntersectionalityRacismSociologyMulticulturalismContext (archaeology)Sexual violenceCriminologyEthnic groupDisadvantageDomestic violencePolitical sciencePoison controlSuicide preventionLaw
DOInot available

Abstract

fetched live from OpenAlex

Through an intersectional theoretical framework, this paper discusses the findings of a qualitative study focusing on racialized women’s experiences of sexual violence and harassment in Canadian higher education. Specifically, this paper considers how the intersections of gender, race, ethnicity, sexuality, and socioeconomic status inform why racialized women are targets of sexual violence and harassment on campus. Moreover, it seeks to demonstrate how violence is perpetuated against racialized women by institutional and structural forces when they choose whether to disclose. Their experiences of disclosure or remaining silent are both telling of the institutional and structural forms of violence that racialized women experience. The author concludes by arguing that Canada’s emphasis on liberal discourses such as multiculturalism, which universities echo, blurs structural inequities which perpetuate racism and sexism, including classism and homophobia, and works to the disadvantage of racialized women in the context of sexual violence and harassment. This has implications for creating inclusive and equitable campuses, and tackling sexual violence and harassment in higher education.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.043
Threshold uncertainty score0.560

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.074
GPT teacher head0.342
Teacher spread0.269 · 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 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

Citations0
Published2018
Admission routes2
Has abstractyes

Explore more

Same venue2019 Conference of the Canadian Society for the Study of EducationSame topicSexual Assault and Victimization StudiesFrench-language works237,207