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Record W4389777932 · doi:10.1080/09523367.2023.2284314

A Supplementary Sport? Towards a Historical Analysis of the Development of Badminton in New Zealand, c. 1870–1939

2023· article· en· W4389777932 on OpenAlexaboutno aff
Song Ze Ngo, Geoff Watson

Bibliographic record

VenueThe International Journal of the History of Sport · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsRecreationRacketAppealFootballPeriod (music)Quarter (Canadian coin)HierarchyCasualAdvertisingSociologyHistoryPolitical scienceVisual artsAestheticsLawArtBusinessArchaeology

Abstract

fetched live from OpenAlex

Although badminton has been played in New Zealand for approximately 150 years it has received only minimal attention in scholarly discussions of sport.This paper evaluates the historical development of badminton in New Zealand between 1870 and 1939.It argues that from the last quarter of the nineteenth century badminton was initially played alongside games such as croquet and tennis in mostly private venues as a form of upper-class recreation.It then gained a wider appeal primarily as a winter sport that could be played by tennis players during the off-season.During the interwar period it was promoted as a suitable form of recreation for women because it was non-contact and believed to be not overly strenuous.Although its construction as a useful winter sport for tennis players and a suitable game for women helped badminton achieve a position as a niche sport, such characterizations hindered its further development because it was seen as a supplementary sport to tennis, the then dominant racket sport in New Zealand.Moreover, in comparison to its contemporary racket sports badminton was often criticized as an inferior game.Accordingly, it occupied a somewhat ambiguous place in New Zealand's sporting hierarchy.

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)0.002
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.483
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.048
GPT teacher head0.313
Teacher spread0.265 · 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 designObservational
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

Citations1
Published2023
Admission routes1
Has abstractyes

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