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Record W3084047544 · doi:10.1086/709219

Bodies at the Intersections: Refiguring Intersectionality through Queer Women’s Complex Embodiments

2020· article· en· W3084047544 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSigns · 2020
Typearticle
Languageen
FieldHealth Professions
TopicObesity and Health Practices
Canadian institutionsDalhousie UniversityYork UniversityOntario Tech UniversityTrent UniversityUniversity of Guelph
Fundersnot available
KeywordsIntersectionalityQueerSociologyHuman sexualityGender studiesAndrogynyIdentity (music)AestheticsMasculinityArt

Abstract

fetched live from OpenAlex

In this article we examine the challenges and possibilities of mobilizing intersectionality as a theoretical and methodological construct through a collaborative, arts-based research project. This project, Through Thick and Thin, explored how persons in queer communities who identify (partially or wholly) as women and who claim multiple intersecting positions negotiate, are affected by, and resist body ideals and body management expectations. We present and analyze a selection of multimedia stories (videos) that feature assemblages of queer sexuality, gender expression and identity, and other identifications (race, class, indigeneity, ability, age, etc.) in confrontation with body-based stigma, expectations around eating and exercise, and experiences of pathologization. Reviewing relevant debates within the intersectionality literature, we reflect on how our research team enacted intersectionality as an active, integral part of the research process. We suggest that multimedia storytelling enabled video makers to revise and undermine dominant accounts of their complex, unpredictable, and irreducible bodies. Creative accounts of complex embodiment push the corpus of research on distressed eating and fatness to recognize and better account for bodies at the intersections and press the field of intersectionality studies to consider new ways of conceptualizing intersectionality to account for the complexity of embodiment.

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.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.371
Threshold uncertainty score0.998

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 studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0180.006

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 head0.231
GPT teacher head0.462
Teacher spread0.231 · 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