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Record W4411976753 · doi:10.14198/fem.2025.46.14

Animal Metaphors and University Rape Culture: A Look at Violence against Women on Campuses in Canada, Spain, Australia, Mexico, and the USA

2025· article· en· W4411976753 on OpenAlexaboutno aff
Irene López Rodríguez

Bibliographic record

VenueFeminismo/s · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Feminism, and Media
Canadian institutionsnot available
FundersUniversidad de Huelva
KeywordsGeographyPolitical scienceMedia studiesGender studiesCriminologySociology

Abstract

fetched live from OpenAlex

This article focuses on animal metaphors in real cases of rape culture in universities in the Anglophone and Hispanophone worlds. To this aim, it analyzes the animal metaphors permeating several episodes of violence against female students perpetrated on campuses in Canada, Spain, Australia, Mexico, and the USA in the last decades (2000-2024). A total of 6 cases are studied. Apart from reflecting the (ab)use of animal metaphors in cases of rape culture in the higher educational system, this selection was made considering the different types of contexts and media where the metaphors are encountered within the university setting. Some of the animal metaphors are found in the names of parties that portray female students as «bitches». Others belong to WhatsApp groups where male students self-identify as predatory animals planning a gang rape. They are also part of dorm’s publications and emails that label female students as prey to be hunted. Even bathroom graffiti display metaphoric fauna that renders female students as pigs. Through the lens of Conceptual Metaphor Theory, which underscores the pivotal role played by metaphor in both cognition and action, and Critical Discourse Analysis, which highlights how language (re)produces ideologies, social inequalities and power relations, the paper shows how college students resort to the zoomorphic scenario to promote and legitimize (sexual) violence against women. Male students describe their female peers as «cows», «seals», «pigs», «bunnies», «kittens», «bitches», and «chicks» to sexualize and deride them physically, morally, and intellectually. They also cast themselves as predatory animals— «wolves», «studs», «eagles», and «hawks» —to make sense of heterosexual relationships, explain their sexual urges and violent behaviors. These animal metaphors that permeate students’ college life are ultimately part of university rape culture in the English and Spanish-speaking worlds.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.389
Threshold uncertainty score0.510

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 studies0.0000.001
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 head0.017
GPT teacher head0.255
Teacher spread0.238 · 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
Published2025
Admission routes1
Has abstractyes

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