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Record W7111760843

Paid to Play - The Canadian Hockey League Players Class Action Litigation

2025· article· W7111760843 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Commons - DU (University of Denver) · 2025
Typearticle
Language
FieldBusiness, Management and Accounting
TopicBusiness Law and Ethics
Canadian institutionsnot available
Fundersnot available
KeywordsLeagueScholarshipJurisdictionFootballPrincipal (computer security)Class actionParallelsAction (physics)
DOInot available

Abstract

fetched live from OpenAlex

In 2014, the National Labor Relations Board’s Regional Director ruled that scholarship football players at Northwestern University were “employees”. Subsequently, in 2015, the full board, and without deciding the players’ status, declined to assert jurisdiction effectively ending the dispute. There are parallels between this dispute and lawsuits currently before the Canadian courts involving the Canadian Hockey League (“CHL”). The CHL is nominally an “amateur” league and is the principal development league for players hoping to pursue a career as a professional hockey player. The players claim they are “employees” under provincial employment standards statutes. The CHL maintains that the players are “student athletes”, akin to NCAA Division I scholarship athletes. This article examines the similarities and distinctions between CHL players and NCAA Division I athletes, discusses the CHL litigation, the probable outcome, and the possible ramifications of this litigation for the CHL and its players. ∗

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)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.059
Threshold uncertainty score0.431

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0270.006
Scholarly communication0.0090.001
Open science0.0020.003
Research integrity0.0080.005
Insufficient payload (model declined to judge)0.0120.001

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 head0.024
GPT teacher head0.207
Teacher spread0.183 · 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 designNot applicable
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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