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Record W4302192872 · doi:10.1017/9781009039079

Male Nudity in the Greek Iron Age

2022· book· en· W4302192872 on OpenAlexaff
Sarah Murray

Bibliographic record

VenueCambridge University Press eBooks · 2022
Typebook
Languageen
FieldSocial Sciences
TopicClassical Antiquity Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPrehistoryIdeologyIron AgeBronzeBronze AgeAncient historyHistoryArtClassicsAnthropologyLiteratureArchaeologySociologyPoliticsPolitical science

Abstract

fetched live from OpenAlex

Why did the male nude come to occupy such an important place in ancient Greek culture? Despite extended debate, the answer to this question remains obscure. In this book, Sarah Murray demonstrates that evidence from the Early Iron Age Aegean has much to add to the discussion. Her research shows that aesthetics and practices involving male nudity in the Aegean had a complicated origin in prehistory. Murray offers a close analysis of the earliest male nudes from the late Bronze and Early Iron Ages, which mostly take the form of small bronze votive figurines deposited in rural sanctuaries. Datable to the end of the second millennium BCE, these figurines, she argues, enlighten the ritual and material contexts in which nude athletics originated, complicating the rationalizing accounts present in the earliest textual evidence for such practices. Murray's book breaks new ground by reconstructing a scenario for the ritual and ideological origins of nudity in Greek art and culture.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.009
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.041
GPT teacher head0.249
Teacher spread0.208 · 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 designObservational
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

Citations1
Published2022
Admission routes1
Has abstractyes

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