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Sport and Capitalism

2017· other· en· W4243084656 on OpenAlexaff
Rob Beamish

Bibliographic record

VenueThe Blackwell Encyclopedia of Sociology · 2017
Typeother
Languageen
FieldSocial Sciences
TopicDoping in Sports
Canadian institutionsQueen's University
Fundersnot available
KeywordsCapitalismOpposition (politics)RevenueEntertainmentCollective bargainingPolitical economyLawPolitical scienceMarket economySociologyEconomicsPoliticsFinance

Abstract

fetched live from OpenAlex

Abstract Capitalism refers to the economic system emerging in thirteenth‐century Europe and extending into the present. Sport denotes a variety of cultural practices that exhibit several particular tendencies when they occur within capitalist social formations. The early pursuit of sport‐entertainment revenues pitted promoters and owners against each other. To prevent their own self‐destruction, owners formed leagues which acted as cartels to control costs, prevent economic competition, and to set prices in the marketplace. In their efforts to gain the freedoms all other employees enjoy, the players in North America used labor laws, the courts, and engaged in open conflict with league owners, ultimately defending themselves through unionization. Once drastically underpaid, collective bargaining has balanced owner–player power relationships so that today's professional athletes receive an increasingly fair share of the enormous revenues they generate. Pierre de Coubertin launched the modern Olympic Games in opposition to the crass materialism and decadence of nineteenth‐century capitalism. The International Olympic Committee's decision to revise the “Eligibility Code” in the Olympic Charter removed the last vestiges of amateurism and any barriers that separated the Games from other professionalized sports. The dominant instrumental rationality of the contemporary Games and their enormous profitability have led to questions about child labor, athletes' rights, performance‐enhancing substance use, and corruption.

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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.095
Threshold uncertainty score0.999

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 studies0.0000.006
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.014
GPT teacher head0.298
Teacher spread0.283 · 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
Published2017
Admission routes1
Has abstractyes

Explore more

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