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Record W4405108349 · doi:10.1080/15505170.2024.2427013

“Is it good or bad to do anal?”: Failures in queer joy and sexuality education

2024· article· en· W4405108349 on OpenAlexaffabout
Casey Burkholder, Melissa Keehn

Bibliographic record

VenueJournal of Curriculum and Pedagogy · 2024
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsUniversity of New BrunswickConcordia University
Fundersnot available
KeywordsQueerHuman sexualityGender studiesSociologyPsychologySexuality educationQueer theoryHomosexualitySocial psychologySex education

Abstract

fetched live from OpenAlex

Where does queer joy fail in the sexuality education classroom? In this article, we work through the productive problematic of employing a queer and pleasure-centered approach to teaching sexuality education in New Brunswick, Canada. Engaging participatory visual research methods and queer joy alongside 60 sexuality education teachers in five separate art-making workshops and online interviews, we describe the conditions when teachers seemed unable to access the language of queer joy, like when they teach in a conservative space, encounter shame and sex negativity, or when they lack the resources and guidance to feel confident to teach sexuality education. We propose that queer joy is a worldmaking project in sexuality education classrooms—that is most often experienced in tandem with resistance—and offers a futurity queered toward something joyfully different, including when it fails.

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)0.015
metaresearch head score (Gemma)0.019
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 score0.155
Threshold uncertainty score0.308

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0260.065
Scholarly communication0.0120.009
Open science0.0020.011
Research integrity0.0020.009
Insufficient payload (model declined to judge)0.0030.000

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 head0.044
GPT teacher head0.473
Teacher spread0.429 · 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

Explore more

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