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Record W4237111380 · doi:10.1017/cbo9781107280311

The People's Game

2014· book· en· W4237111380 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCambridge University Press eBooks · 2014
Typebook
Languageen
FieldArts and Humanities
TopicGerman History and Society
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsFootballSuperpowerCommunismHegemonyPolitical scienceMedia studiesSociologyLawChinaPolitics

Abstract

fetched live from OpenAlex

Sport in East Germany is commonly associated with the systematic doping that helped to make the country an Olympic superpower. Football played little part in this controversial story. Yet, as a hugely popular activity that was deeply entwined in the social fabric, it exerted an influence that few institutions or pursuits could match. The People's Game examines the history of football from the interrelated perspectives of star players, fans, and ordinary citizens who played for fun. Using archival sources and interviews, it reveals football's fluid role in preserving and challenging communist hegemony. By repeatedly emphasising that GDR football was part of an international story, for example, through analysis of the 1974 World Cup finals, Alan McDougall shows how sport transcended the Iron Curtain. Through a study of the mass protests against the Stasi team, BFC, during the 1980s, he reveals football's role in foreshadowing the downfall of communism.

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.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.521
Threshold uncertainty score0.978

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.017
GPT teacher head0.162
Teacher spread0.145 · 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