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Record W4404361698 · doi:10.1177/08861099241297153

The Gendered, Misogynoiristic, and Colonial Genocidal Logics of Strip Searching

2024· article· en· W4404361698 on OpenAlexafffundabout
Jessica Hutchison

Bibliographic record

VenueAffilia · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsWilfrid Laurier University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsColonialismIndigenousGender studiesPraxisState (computer science)Theme (computing)CriminologySociologyFeminismPolitical scienceLaw

Abstract

fetched live from OpenAlex

Women with lived experience of strip searching have been calling for it to be banned as a practice for decades; however, it remains a routine practice in carceral settings such as prisons and jails. Given the mass incarceration of Indigenous women and disproportionate rate of Black women in federal prisons in Canada, an anti-racist and gendered anticolonial analysis of strip searching is warranted. Thus, this paper shares findings from conversations with 23 previously incarcerated women, the majority of whom are Black and Indigenous, about their experiences of being strip searched in prisons. The main theme throughout the conversations was that strip searching is sexual violence by the state. Furthermore, the harms of strip searching are gendered in that women are forced to remove their tampons and pads during menstruation to show guards. The paper also elucidates the ways in which strip searching enacts misogynoiristic and colonial genocidal logics historically rooted in projects such as Indian Residential Schools and the enslavement of Black women. It ends with a call for abolition feminist social work praxis by meeting the direct needs of women who are strip searched while also advocating for it to be banned as a practice.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.784
Threshold uncertainty score0.979

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.029
GPT teacher head0.340
Teacher spread0.311 · 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 designOther design
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

Citations2
Published2024
Admission routes3
Has abstractyes

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