MétaCan
Menu
Back to cohort
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 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)0.001
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.059
Threshold uncertainty score0.430

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.007
Science and technology studies0.0090.011
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.000

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 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
Published2020
Admission routes2
Has abstractyes

Explore more

Same venueSport History ReviewSame topicSports, Gender, and SocietyFrench-language works237,207