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Record W3047348574 · doi:10.1123/shr.2019-0005

“The New Woman and the Manly Art”: Women and Boxing in Nineteenth-Century Canada

2020· article· en· W3047348574 on OpenAlexaffabout
MacIntosh Ross, Kevin B. Wamsley

Bibliographic record

VenueSport History Review · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsSt. Francis Xavier UniversityWestern University
Fundersnot available
KeywordsAdventureBattleHistoryGender studiesSociologyArt historyAncient history

Abstract

fetched live from OpenAlex

On July 27, 1859, “Canada” Kate Clark met two Americans, Nellie Stem and Mary Dwyer, for a pair of prize fights in Fort Erie, Canada West. Beginning their adventure in Buffalo, New York, they rowed their way across the Niagara River to the fighting grounds in the British colony. Like pugilists before them, they stripped to the waist to limit potential grappling in battle. Both the journey and pre-fight fight preparations were tried and true components of mid-nineteenth century prize fighting. Although the press, and later historians, overwhelmingly associated such performances with male combatants, women were indeed active in Canadian pugilistic circles, settling scores, testing their mettle, and displaying their fistic abilities both pre- and post-Confederation. In this article, we begin to untangle the various threads of female pugilism, situating these athletes and performers within the broader literature on both boxing and women's sport in Canada. By examining media reports of female boxers—both in sparring and prize fighting—we hope to provide a historiographic foundation for further discussions of early female pugilism, highlighting the various ways these women upheld and challenged the notion of the “new woman” in Canada.

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: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.201
Threshold uncertainty score0.898

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 studies0.0000.000
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 head0.022
GPT teacher head0.238
Teacher spread0.216 · 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
GenreReview

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
Published2020
Admission routes2
Has abstractyes

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