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Record W4236304843 · doi:10.3138/jcs.40.1.125

“Talk About Strenuous Hockey”: Violence, Manhood, and the 1907 Ottawa Silver Seven-Montreal Wanderer Rivalry

2006· article· en· W4236304843 on OpenAlexvenueaboutno aff
Stacy L. Lorenz, Geraint B. Osborne

Bibliographic record

VenueJournal of Canadian Studies · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsnot available
Fundersnot available
KeywordsMasculinitySpectacleNarrativeContext (archaeology)Gender studiesNewspaperIce hockeySociologyHistoryMedia studiesArtPolitical scienceLiteratureLawMedicine

Abstract

fetched live from OpenAlex

This case study of violence and masculinity in Canadian hockey examines newspaper reports of matches involving the Ottawa Silver Seven and the Montreal Wanderers during the 1907 season. It analyzes media narratives of rough and aggressive hockey in relation to gender and class identities in late-nineteenth- and early-twentieth-century Canada. Newspapers created hockey narratives that combined elements of “brutal butchery” and “strenuous spectacle.” These narratives spoke to different ways of experiencing and enjoying hockey, to tensions within public perceptions of the sport, and to a wider ambivalence about violence in the game. Depictions of “brutal butchery” combined outrage and fascination; accounts of “strenuous spectacle” portrayed violence as part of an absorbing, aggressive, masculine display. Ideals of respectable, middle-class masculinity and rough, working-class masculinity coexisted within accounts of fast, skilled, rugged, hard-hitting hockey. The danger, physicality, and competitiveness of “strenuous hockey” also cultivated and reinforced standards of passionate manhood and primitive masculinity during this time period. By evaluating key issues surrounding violence, gender, and class in early hockey, this article addresses important gaps in the study of Canadian sport history and the analysis of hockey and Canadian popular culture. In particular, it begins to answer the need for careful, focussed case studies that examine hockey violence in a historical context.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.484
Threshold uncertainty score0.851

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.015
GPT teacher head0.263
Teacher spread0.248 · 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.

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

Citations5
Published2006
Admission routes2
Has abstractyes

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