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Record W4390268692 · doi:10.1080/14681811.2023.2296984

“Something that is so overlooked”: joyfully exploring queer bodies and sexualities in sexuality education with teachers in New Brunswick, Canada

2023· article· en· W4390268692 on OpenAlexafffundabout
Casey Burkholder, Melissa Keehn

Bibliographic record

VenueSex Education · 2023
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsUniversity of New Brunswick
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsHuman sexualityQueerPleasureGender studiesSociologyQueer theoryTransgenderCurriculumPsychologyPedagogy

Abstract

fetched live from OpenAlex

In this paper, we seek out the possibility of joyful and queered spaces of sexuality education. The sexual lives of queer and transgender youth are often passed over in sex and sexuality education classrooms. In this study, we were interested in exploring how sexual and bodily diversity make an appearance in these often-normative spaces. Through participatory visual research methodologies, we created art and media alongside 40 teachers in the province of New Brunswick, Canada, to look at the ways in which queer sexualities and bodies are made possible and impossible in their sex education practice. In three workshops, we found teachers negotiating the presence of 2SLGBTQI+ sexuality in their classrooms and a missing discourse of queer pleasure – mimicking the province’s tired sexuality education curriculum. We notice that artmaking helps diffuse the discomfort that often accompanies talking (and teaching) about sex in workshop spaces. We argue that sexuality educators need additional professional learning and resources to tend to the sexual lives of young people – and ultimately, a queering of sexuality education that is more intersectional, pleasure-centred, and joyful.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.121
Threshold uncertainty score0.990

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 studies0.0000.000
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 head0.080
GPT teacher head0.371
Teacher spread0.292 · 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 designObservational
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

Citations18
Published2023
Admission routes3
Has abstractyes

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