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Record W2181301847 · doi:10.1525/nclr.2014.17.1.55

The Right to a Fair Fight

2014· article· en· W2181301847 on OpenAlexaff

Bibliographic record

VenueNew Criminal Law Review · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Law and Evidence
Canadian institutionsQueen's University
Fundersnot available
KeywordsPrinciple of legalityHarmLawCriminal lawPolitical scienceDeadly forcePosition (finance)CriminologySociologyBusiness

Abstract

fetched live from OpenAlex

This article critically assesses the criminal law on consensual harm through an examination of the legality of fighting sports. The article begins by considering fighting sports such as bare-fisted prize fighting (dominant in the nineteenth century). It then, in historical chronology, examines the legality of professional boxing with gloves (dominant in the twentieth century). Doctrinally, the article reviews why and how, in a position adopted by the leading common law jurisdictions, fighting sports benefit from an application of the “well-established” category-based exceptions to the usual bodily harm threshold of consent in the criminal law. Centrally, fighting sports and doctrinal law on offenses against the person are juxtaposed against the theoretical boundaries of consent in the criminal law to examine whether and where the limit of the “right to be hurt” might lie. In sum, this article uses fighting sports as a case study to assess whether the criminal law generally can or should accommodate the notion of a fair fight, sporting or otherwise, predicated on the consent of the participants to the point that the individuals involved might be said, pithily, to have extended an open invite to harm.

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)0.010
metaresearch head score (Gemma)0.026
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: Commentary · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.026
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0030.018
Scholarly communication0.0050.005
Open science0.0020.005
Research integrity0.0060.004
Insufficient payload (model declined to judge)0.0080.002

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 head0.043
GPT teacher head0.357
Teacher spread0.313 · 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
GenreCommentary

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

Citations2
Published2014
Admission routes1
Has abstractyes

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