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Record W2884376000 · doi:10.1353/his.2018.0002

The Cricketers of Digby and Yarmouth Counties, Nova Scotia, 1871-1914: Social Roots of a Village and Small-Town Sport

2018· article· en· W2884376000 on OpenAlexvenueaboutno aff
John G. Reid

Bibliographic record

VenueHistoire sociale · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsCricketNova scotiaSettlement (finance)ColonialismGeographyArchaeologyHistoriographyHistoryEcology

Abstract

fetched live from OpenAlex

Cricket in Nova Scotia, up until 1914, was a complex and deeply rooted sport. Rural and small-town cricket has attracted little historiographical attention, and yet multiple cricket clubs existed in villages and small towns. The adjoining counties of Digby and Yarmouth form a subregion in the southwestern part of the province where the social roots of cricket can be gauged and analysed. This essay argues that cricket long retained its place as a prevalent summer sport, and also contributed notably to the normalization of colonial settlement as well as to social linkages among settler communities. Abstract: Jusqu'en 1914, le cricket en Nouvelle-Écosse était un sport complexe et profondément enraciné. Il existait de nombreux clubs de cricket dans les villages et les petites villes. Et pourtant, le cricket à la campagne et dans les petites villes n'a guère attiré l'attention des historiens. Or les comtés adjacents de Digby et de Yarmouth constituent une sous-région du sud-ouest de la province où il est possible d'évaluer et d'analyser les racines sociales de cette activité. Longtemps le sport dominant de l'été, le cricket a aussi contribué de façon marquée à la normalisation de la colonisation ainsi qu'aux liens sociaux entre colons de diverses localités, soutient l'auteur.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.059
Threshold uncertainty score0.118

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.014
GPT teacher head0.223
Teacher spread0.208 · 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
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
Published2018
Admission routes2
Has abstractyes

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