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Record W4406774166 · doi:10.1017/pub.2024.26

Sport at the Conjuncture: Sport History, Sexual Abuse, and Resistance

2025· article· en· W4406774166 on OpenAlexafffundabout
MacIntosh Ross, Michael Di Gravio, Aram Abu-Jazar, Daniel S. Drozdowsky

Bibliographic record

VenuePublic humanities. · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsUniversity of WindsorWestern University
FundersWestern University
KeywordsResistance (ecology)Sexual abusePsychologyMedicineMedical emergencyInjury preventionPoison control

Abstract

fetched live from OpenAlex

Abstract Stuart Hall stated “the university is a critical institution or it is nothing.” When it comes to the historical study of sexual abuse in Canadian sport, until very recently, it has been very much the latter. Nothing. As part of a larger project on studies of sexual abuse in sport, we reviewed articles across the four leading sport history journals – Sport History Review, Sport in History, Journal of Sport History, and International Journal of the History of Sport – to consider what methods, sports, and demographics received the most analysis. Such an effort proved impossible. There was scholarly silence on the matter. But this raised another question. So what? Would publishing in pay-walled academic journals about so pressing a societal issue make any difference at all? Furthermore, can a PhD-touting academic – including the lead author of this paper – ever enact change via the field of history if their sole purpose is to churn out studies for the ivory tower? We think not. It requires boots on the ground. Engagement and collaboration with those Antonio Gramsci called “organic intellectuals,” so we can tend the flames of knowledge and fuel a movement. History can be the tool one wields. Public, digital history.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.585
Threshold uncertainty score1.000

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 studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.041
GPT teacher head0.264
Teacher spread0.224 · 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 designNot applicable
Domainnot available
GenreOther

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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