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Record W4307329041 · doi:10.1177/01937235221134611

Assemblage Thinking as Attunement to Race, Gender, and Sexuality in Youth Sport Research

2022· article· en· W4307329041 on OpenAlexaff
Martin Camiré

Bibliographic record

VenueJournal of Sport and Social Issues · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsAssemblage (archaeology)Performative utteranceAttunementTransformative learningHuman sexualitySociologyGender studiesRace (biology)PerformativityAestheticsPsychologyPedagogyEcology

Abstract

fetched live from OpenAlex

Youth sport is often prefaced as an accessible social practice facilitating development and wellbeing, yet social controls and inequalities abound along racial, gender, and sexual divisions. In efforts of transformative theoretical manoeuvring, the purpose of the paper is to deploy assemblage thinking as attunement to race, gender, and sexuality in youth sport research. A rationale for assemblage thinking is provided, followed by explanations of what assemblage thinking can do. Assemblage thinking is then deployed, situating race, gender, and sexuality as provisional performative doings. Key considerations are offered as to how youth sport researchers can engage in performative participation, acting as becoming-resources who consider the ever-evolving dynamics of academia and capitalism. Assemblage thinking is positioned as a provincial lens that can instigate more sustainable transformative research.

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)0.054
metaresearch head score (Gemma)0.035
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.054
Threshold uncertainty score0.286

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0540.035
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.003
Science and technology studies0.0100.081
Scholarly communication0.0140.015
Open science0.0020.013
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0020.000

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 head0.158
GPT teacher head0.455
Teacher spread0.296 · 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 designTheoretical or conceptual
Domainnot available
GenreMethods

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

Citations13
Published2022
Admission routes1
Has abstractyes

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