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Record W1481199509 · doi:10.4324/9780203995341

With God on their Side

2005· book· en· W1481199509 on OpenAlexfundno aff
Timothy Chandler, Tara Magdalinski

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsnot available
FundersUniversity of Illinois at Urbana-ChampaignUniversity of CambridgeYork University
KeywordsHistory

Abstract

fetched live from OpenAlex

'Sport' and 'religion' are cultural institutions with a global reach. Each is characterised by ritualised performance and by the ecstatic devotion of its followers, whether in the sports arena or the cathedral of worship. This fascinating collection is the first to examine, in detail, the relationship between these two cultural institutions from an international, religiously pluralistic perspective. It illuminates the role of sport and religion in the social formation of collective groups, and explores how sport might operate in the service of a religious community. The book offers a series of cutting-edge contemporary historical case-studies, wide-ranging in their social and religious contexts. It presents important new work on the following fascinating topics: * sport and Catholicism in Northern Ireland * Shinto and sumo in Japan * women, sport and the American Jewish identity * religion, race and rugby in South Africa * sport and Islam in France and North Africa * sport and Christian fundamentalism in the US * Muhammad Ali and the Nation of Islam. With God on their Side is vital reading for all students of the history, sociology and culture of sport. It also presents important new research material that will be of interest to religious studies students, historians and anthropologists.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.310
Threshold uncertainty score0.997

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.030
GPT teacher head0.274
Teacher spread0.244 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations46
Published2005
Admission routes1
Has abstractyes

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