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Record W4417122357 · doi:10.26522/jess.v12i.5342

Performing at the intersections

2025· article· W4417122357 on OpenAlexaffvenueabout
Janelle Joseph

Bibliographic record

VenueJournal of Emerging Sport Studies · 2025
Typearticle
Language
FieldSocial Sciences
TopicInterdisciplinary Cultural and Social Studies
Canadian institutionsBrock University
Fundersnot available
KeywordsSituatedColonialismQueerLiteral and figurative languageResistance (ecology)Binary oppositionBlack feminismPerspective (graphical)

Abstract

fetched live from OpenAlex

Caribbean-Canadian carnival parades offer opportunities for Black people to reclaim public streets and reimagine urban geographies. This paper interrogates what it means to do so in the decolonial political contexts of a) land-back and Indigenous resurgence efforts and b) gendered resistance masquerade, music, and movement cultures. Traditional Black feminist research is predominantly focused on cis-gender and heteronormative experiences, despite the ways binary gender thinking cannot capture Black experience. While ‘playing mas’ (performing in costume during a Caribbean parade) in Toronto, Canada for the first time, I suddenly saw the opportunity to reveal and resist the categories, theories, and epistemologies situated in dominant colonial thinking including in my own body and self-judgements, and welcomed the opportunity to embody counter-narratives of movement as I reclaimed the streets, while acknowledging that reclamation as a move to innocence. This paper shares an auto-ethnographic-account of ‘playing mas’ to consider how Black bodies move through literal and figurative intersections, understanding and confounding Black feminism, queer and erotic subjectivity, and decolonial praxis. Examining what occurs between and among bodies related to carnival, from the perspective of the multiply situated performer, reveals conflicting and complimentary intersectional identities and oppressions, including race, gender, nation, sexuality, settler, immigrant, ability, and practices of (de)coloniality.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.219
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0100.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.039
GPT teacher head0.399
Teacher spread0.360 · 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.

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

Citations0
Published2025
Admission routes3
Has abstractyes

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