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Record W3158041754 · doi:10.1093/ahr/rhz1121

Z<scp>inon</scp> P<scp>apakonstantinou</scp>. <i>Sport and Identity in Ancient Greece</i>.

2020· article· en· W3158041754 on OpenAlexaff
Nigel B. Crowther

Bibliographic record

VenueThe American Historical Review · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsWestern University
Fundersnot available
KeywordsScholarshipIdentity (music)ClassicsPopularityIdeal (ethics)Period (music)White (mutation)HistoryArtAestheticsLawPolitical science

Abstract

fetched live from OpenAlex

Sport and Identity in Ancient Greece is not merely another academic book on Greek athletics, nor an overview based on a traditional chronology or region. As the text moves from the Archaic period through the Hellenistic to the Roman world, Zinon Papakonstantinou’s intention is not so much to “set the record straight” about Greek athletics but to show the interaction of sport with the changing social and cultural life of Greek communities by building on his own scholarship and the scholarship of others (1). Papakonstantinou rightly maintains that sport’s popularity and longevity makes it an ideal means to discover identities in the Greek world. Well versed in both primary and secondary sources, Papakonstantinou includes an extensive and up-to-date bibliography, six black-and-white photographs (not all of the highest quality), well-documented footnotes, and a brief index. His book achieves its objective through several scholarly sections; namely, a useful introduction and epilogue that frame five chapters comprised essentially of case studies associating identity and sport. These detailed accounts are best reviewed individually.

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)0.002
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: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.205
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.039
GPT teacher head0.314
Teacher spread0.275 · 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 designNot applicable
Domainnot available
GenreReview

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
Published2020
Admission routes1
Has abstractyes

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