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Record W2304970939 · doi:10.1080/17460263.2015.1067250

‘That Excellent Sample of a Professional’: Dan Maskell and the Contradictions of British Amateurism in Twentieth-century Lawn Tennis

2015· article· en· W2304970939 on OpenAlexaff
Robert J. Lake

Bibliographic record

VenueSport in History · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsDouglas College
Fundersnot available
KeywordsAmateurCommercialismIdeologySociologyLawMedia studiesHistoryPolitical sciencePolitics

Abstract

fetched live from OpenAlex

This paper critically examines the life and career of Daniel “Dan” Maskell OBE CBE (1908-92), the much-loved British professional coach and BBC commentator for Wimbledon, and position his social ascendancy during the inter-war and post-war periods within the contexts of shifting class relations in British society, and the professionalisation of tennis and growing performance orientation of amateur tennis authorities in Britain. Given his working-class origins, Maskell’s gradual acceptance into the British lawn tennis fraternity and rise to become “the voice of Wimbledon” and, for some, the personification of traditional British sporting amateur values, was something of an enigma, and reflected key contradictions in what amateurism constituted in the twentieth century. Despite enduring systematic discrimination in clubs and exclusion from amateur competitions, as a consequence of him being a “professional”, he remained a chief proponent of the amateur ideology throughout his lifetime and exhibited numerous personal qualities that endeared him to the upper-middle-class establishment: modesty, loyalty, integrity, conservative views on player behaviour, deference to authority, strong work-ethic, and good-humoured nature. Once tennis went “open” in 1968, and throughout a period when professionalism and commercialism threatened to undermine the sports’ core ideals, Maskell continued to represent and promote amateur ideals through his broadcasting ethics and values.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.789
Threshold uncertainty score0.996

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 studies0.0000.001
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 head0.038
GPT teacher head0.271
Teacher spread0.233 · 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

Citations2
Published2015
Admission routes1
Has abstractyes

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