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Record W2765267238

Rewriting Hockey's Unwritten Rules: Moore v. Bertuzzi

2017· article· en· W2765267238 on OpenAlexaboutno aff
Patrick K. Thornton

Bibliographic record

VenueMaine law review · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Systems and Judicial Processes
Canadian institutionsnot available
Fundersnot available
KeywordsRewritingLaw and economicsProgramming languageLawComputer sciencePolitical scienceSociology
DOInot available

Abstract

fetched live from OpenAlex

The word “enforcer” or “hockey goon” does not appear in the 2007–2008 National Hockey League (NHL) rulebook. However, every player and coach knows the meaning of those words. Hockey has always had its share of enforcers or “goons” that have protected star players. Steve Moore, former Harvard captain, and his parents have sued NHL tough-man Todd Bertuzzi, the Vancouver Canucks, and the partnership that owned the Canucks for an on-ice incident that occurred between Moore and Bertuzzi on March 8, 2004. Dedicated hockey fans have followed the lawsuit, but with the “incident” now over four years old many have forgotten about the vicious nature of the hit Bertuzzi rendered on Moore. Much of the discussion circulating around the Moore lawsuit has been that of hockey’s unwritten rule dealing with enforcers and hockey’s code of retaliation. Steve Moore’s lawsuit challenges hockey’s unwritten rules dealing with fighting and retaliation. Moore’s civil lawsuit has been frowned upon by some players. The outcome of the lawsuit could set the boundaries for future play in the NHL. Consider a sport where physically fit athletes are moving on skates at more than 20 miles an hour, wielding large wooden or metal sticks, and all vying for a 1 inch frozen piece of vulcanized rubber that has the ability to travel at more than 100 miles per hour. In addition, all of this activity takes place on a rock hard sheet of ice, 200 by 85 feet, with boundaries made of boards and glass. Whoever controls the puck also controls his future. A player could gain worldwide notoriety, obtain a lucrative contract, and eventually be presented with Lord Stanley’s Cup. Simply put, a lot is at stake.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.971
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.040
GPT teacher head0.360
Teacher spread0.319 · 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
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
Published2017
Admission routes1
Has abstractyes

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