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Record W4247557125 · doi:10.4324/9781315206066-4

Hockey, Violence, and Masculinity: Newspaper Coverage of the Ottawa ‘Butchers’, 1903–1906

2017· book-chapter· en· W4247557125 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsNewspaperMasculinityGeographyGender studiesPolitical scienceHistoryMedia studiesSociology

Abstract

fetched live from OpenAlex

This case study of violence and masculinity in Canadian hockey examines newspaper reports of Stanley Cup matches involving the Ottawa Silver Seven between 1903 and 1906. It assesses media narratives of rough and aggressive hockey in relation to gender and class identities in late nineteenth- and early twentieth-century Canada. Sports like hockey played a significant role in the social construction of masculinity during this time period, helping to counter the fear that overcivilization was making men weak, effeminate, and over-sophisticated. Media coverage of Ottawa’s championship hockey team frequently made reference to violent incidents and rough tactics. Newspapers constructed cultural narratives of hockey that combined elements of ‘brutal butchery’ and ‘strenuous spectacle’. These narratives spoke to different ways of experiencing and enjoying hockey, and to various tensions within public perceptions of the sport. Depictions of ‘brutal butchery’ combined outrage and fascination; accounts of ‘strenuous spectacle’ portrayed violence as part of an absorbing, masculine display. Thus, descriptions of robust and hard-hitting hockey expressed both ideals of respectable, middle-class masculinity and characteristics of rough, working-class masculinity. In addition, the admiration of rugged and physical hockey articulated in early twentieth-century newspaper accounts is still prominent in the culture of hockey today.

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)0.000
metaresearch head score (Gemma)0.001
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: none
Teacher disagreement score0.037
Threshold uncertainty score0.270

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.013
Science and technology studies0.0120.008
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0160.001

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 head0.014
GPT teacher head0.226
Teacher spread0.212 · 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
Published2017
Admission routes1
Has abstractno

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