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Record W4392633700 · doi:10.1080/13540602.2024.2328013

‘Within the limits of decency and modesty’: the construction of cis-heteronormativity in New Brunswick school dress code policies

2024· article· en· W4392633700 on OpenAlexaffabout
Melissa Keehn

Bibliographic record

VenueTeachers and Teaching · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicGender Roles and Identity Studies
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsHeteronormativityCode (set theory)SociologyGender studiesPolitical scienceComputer scienceHuman sexualityProgramming language

Abstract

fetched live from OpenAlex

This study considers the ways school dress code policies in the Atlantic Canadian province of New Brunswick subtly perpetuate heteronormative and cisgendered assumptions regarding acceptable youth cultures. Although past media attention in the province has drawn attention to their indiscriminate enforcement, little is known on how these policies implicate queer and trans youth. Using critical discourse analysis, I collect and analyse data from 113 dress code policies across the region and examine how the language constructs norms about gender and sexuality. My findings reveal many policies using language which largely excludes the stylistic expression of queer and trans students: The texts nullify overall student sexuality and attempt to stabilise gender in ways that make sense to oppressive systems. I argue that my findings have broader appeal to other educational jurisdictions and can be applied to a wider set of discourses and practices around school dress code policies.

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)0.011
metaresearch head score (Gemma)0.013
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 score0.091
Threshold uncertainty score0.523

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0200.051
Scholarly communication0.0090.003
Open science0.0020.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.043
GPT teacher head0.327
Teacher spread0.285 · 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

Citations3
Published2024
Admission routes2
Has abstractyes

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