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Record W2913514487 · doi:10.14288/1.0375832

Sport slavery : The exploitation of teenagers by ‘mock-amateur’ for-profit sport cartels : a study of the National Collegiate Athletic Association (NCAA) & the Canadian Hockey League (CHL) : can law obtain compensation for these monetized young stars?

2025· article· en· W2913514487 on OpenAlexaboutno aff
Susan D. MacDonald

Bibliographic record

VenuecIRcle (University of British Columbia) · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicDoping in Sports
Canadian institutionsnot available
Fundersnot available
KeywordsLeagueAmateurPolitical scienceAdvertisingLawSportsmanshipCompensation (psychology)Ice hockeyAeronauticsPsychologyEngineeringBusinessPhysical medicine and rehabilitationMedicineSocial psychology

Abstract

fetched live from OpenAlex

This thesis is a scholarly contribution to law, sport, economics, politics, and children’s human rights. It represents thousands of teenagers tricked into working for no compensation by ‘mock-amateur’ billion-dollar sport cartels. The thesis examines six North American sport cartels, focusing on the Canadian Hockey League [CHL] and National Collegiate Athletic Association [NCAA]. Sport cartels easily exploit teenage athletes because of unrestrained use of the word ‘amateur’. The power behind ‘mock-amateur’ cartels is that they are absolute monopolies with monopsony control, plus hold strategic lobbyist and hegemonic influence — powers that create lawmaking. It is hypothesized that normal civil legal actions and statute law are unable to achieve the teenagers’ compensation rights. The thesis answer is the use of public law and the public inquiry. O’Bannon and Northwestern 2016 litigation results affirmed that mock-amateur cartels are untouchable via litigation strategies, with Canadian 2018 CHL class action trilogy of Berg and Walter likely to produce the same result. I further conclude that the rule of law, Canadian Constitution, separation of powers, federalism, and common law interfere in obtaining fair results. The thesis aims to overturn the cartel arrangement of no-pay, no-Name-Image-Likeness [NIL] rights, and the thesis also aims to expose the cartel’s extortion of the teenagers’ education trust funds. Investigatory methods were research of relevant texts and broadcasts of scholarly and journalistic experts in economics, law, and sport and commerce, with examination of extensive statutory provisions and the common-law of the US and Canada in areas of anti-competition, labour rights/relations, contract law, constitutional law, class action procedures, and public law. Three field studies were completed for this thesis, in California (O’Bannon), Michigan (Northwestern), and Saskatchewan/Alberta to research CHL revenue. The thesis hypothesis was correct: the rule of law requires that the separation of powers’ three branches must all act to achieve justice. Judiciary and politicians failing, the executive branch must act. This thesis recommends a transnational Canada/US public inquiry addressing working children’s unique existence and helplessness, also addressing due process, accountability and transparency from dangerous ‘mock-amateur’ sport cartels.

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)0.004
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.935
Threshold uncertainty score0.130

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0120.011
Scholarly communication0.0070.006
Open science0.0010.005
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.016
GPT teacher head0.232
Teacher spread0.215 · 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 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 routes1
Has abstractyes

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