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Record W3043698238 · doi:10.4324/9780203642849-6

Sport and national identity in contemporary England: Martin Polley

2013· article· en· W3043698238 on OpenAlexaboutno aff
Martin Polley

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsFLAGS registerFlag (linear algebra)TournamentTrophyWhite (mutation)FootballQuarter (Canadian coin)Queen (butterfly)George (robot)Identity (music)HistoryMedia studiesArtSociologyArt historyArchaeology

Abstract

fetched live from OpenAlex

In 2002, the England men’s football team qualified for the World Cup finals. The manner of their qualification, which included a spectacular 5-1 defeat of Germany in Munich and a late equaliser against Greece, raised popular expectations about England’s chances of winning the trophy for the first time since 1966. As the tournament started in Japan and South Korea, the popular mood surrounding the team manifested itself through the widespread flying of the England flag on a scale not seen during previous sports tournaments. 2002 saw a move away from the Union flag and towards the flag of St George as a symbol of English sport and, by extension, English identity. During May and June, it was easy to see where the celebrations for Queen Elizabeth II’s golden jubilee were being marked with the red, white, and blue, and where St George was being mobilised for the England team. People flew the England flag from homes, pubs, shops, and vehicles; some people even painted the outside of their houses with the design. Most of these flags disappeared soon after England’s disappointing quarter-final defeat by Brazil. A few remained into the winter, hanging worn and neglected from car radio aerials.

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)0.003
metaresearch head score (Gemma)0.004
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.145
Threshold uncertainty score0.288

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0170.012
Scholarly communication0.0120.011
Open science0.0010.005
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0080.001

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 head0.049
GPT teacher head0.341
Teacher spread0.293 · 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
Published2013
Admission routes1
Has abstractyes

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