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Record W2902582866 · doi:10.1080/00336297.2018.1545681

Social Justice, Sport, and Sociology: A Position Statement

2018· article· en· W2902582866 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

VenueQuest · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSociologyArgument (complex analysis)Transformative learningInequalityEconomic JusticePerspective (graphical)Sociology of sportSocial justiceSocial inequalitySocial changePosition (finance)Social scienceCriminologyEnvironmental ethicsPolitical scienceLaw

Abstract

fetched live from OpenAlex

Amidst widespread inequality, advocates of sport and physical activity have proposed ways in which sport might support those on the social, economic, and geographic margins. In this essay, we consider the place and role of sport in responding to various forms of inequality, and reflect upon its place in pursuing social justice. In so doing, we bring a perspective of critical sociology to the question(s) of whether and how sport can play a role in responding to inequality. Our main argument is that sport has had, and continues to have, a place and role in the pursuit of social justice, but only in so far as sport’s advocates are willing and able to differentiate between justice and charity. To build this case, we draw on the differentiation between the dominant and transformative models of sport for development.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.862
Threshold uncertainty score0.430

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.034
GPT teacher head0.383
Teacher spread0.348 · 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