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Record W4396589618 · doi:10.1017/9781009365987

In Praise of Greek Athletes

2024· book· en· W4396589618 on OpenAlexaff
Peter Miller

Bibliographic record

VenueCambridge University Press eBooks · 2024
Typebook
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics and Physical Performance
Canadian institutionsUniversity of Winnipeg
Fundersnot available
KeywordsPraiseAthletesPsychologyLiteratureArtSocial psychologyMedicinePhysical therapy

Abstract

fetched live from OpenAlex

In ancient Greece both epinikian songs and inscribed epigrams were regularly composed to celebrate victory at athletic festivals. For the first time this book offers an integrated approach to both genres. It focuses on the ultimate source of information about athletic victory, the angelia or herald's proclamation. By examining the ways in which the proclamation was modified and elaborated in epinikian song and inscribed epigram, Peter Miller demonstrates the shared features of both genres and their differences. Through a comprehensive analysis of the metaphor of the herald across the corpus, he argues that it persists across form, medium, and genre from the Archaic to the Hellenistic period, and also provides a rich array of close readings that illuminate key parts of the praise of athletes. This title is part of the Flip it Open Programme and may also be available Open Access. Check our website Cambridge Core for details.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.010
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.007
Scholarly communication0.0050.003
Open science0.0010.006
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0100.005

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 head0.010
GPT teacher head0.203
Teacher spread0.193 · 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 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

Citations0
Published2024
Admission routes1
Has abstractyes

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