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Record W3210620678 · doi:10.1080/13573322.2022.2071253

A systematic scoping review of physical education experiences from the perspective of LGBTQ+ students

2022· article· en· W3210620678 on OpenAlexaff
Shannon S. C. Herrick, Lindsay R. Duncan

Bibliographic record

VenueSport Education and Society · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsMcGill University
Fundersnot available
KeywordsHeteronormativityInclusion (mineral)CurriculumPsychologyPerspective (graphical)Qualitative researchPedagogyPhysical educationSexual minorityGender studiesSociologyLesbianQueerSocial psychologySocial science

Abstract

fetched live from OpenAlex

Despite shifts towards inclusivity, physical education (PE) is still perceived as unwelcoming towards students who identify as sexual and gender minorities (LGBTQ+). A systematic scoping review was conducted to garner an enhanced understanding of the empirical literature exploring LGBTQ+ student experiences within PE. Studies were identified by searching eight electronic databases which produced 962 abstracts from which eight articles were eligible for inclusion. Data were then extracted, summarized, and thematically synthesized into a conceptual map. The majority of the articles reviewed relied on samples that were predominantly comprised of able-bodied white cisgender individuals, with only half of the articles involving adolescent participants. Across studies, the omnipresence of cis-heteronormativity in PE adversely influenced LGBTQ+ experiences through homophobic and transphobic practices. The qualitative studies included in this review highlighted the implicit and explicit gendering processes that work to gender students as well as physical activities. Although cis-heteronormativity and its resulting exclusive practices should continue to be challenged in policies, the experiences of current LGBTQ+ students within PE should be prioritized to inform and evaluate inclusive PE policies, curricula, and teacher training.

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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.598

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 studies0.0010.000
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 head0.024
GPT teacher head0.392
Teacher spread0.368 · 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

Citations21
Published2022
Admission routes1
Has abstractyes

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