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Record W3093787194 · doi:10.3138/mous.17.1.02

Battling on Boards: The Ancient Greek War Games of Ship-Battle (<i>Naumachia</i>) and City-State (<i>Polis</i>)

2020· article· en· W3093787194 on OpenAlexaffvenue
Max Nelson

Bibliographic record

VenueMouseion Journal of the Classical Association of Canada · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical, Religious, and Philosophical Studies
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsBattleGreeksState (computer science)On boardAncient historyPeriod (music)HistoryFirst world warClassicsArtArchaeologyMathematics

Abstract

fetched live from OpenAlex

Only two distinct board games (and their variants) are firmly attested among Greeks in the Classical period (fifth to fourth centuries bc). The first, eventually known as “Ship-Battle” (ναυμαχία), is first attested in the seventh century bc and was played (ordinarily) with ten counters and a die on a board with five parallel lines or a circle of ten spots. The second, known usually as “City-State” (πόλις), is first attested in the fifth century bc and was played with sixty counters (and possibly a die) on a board with a grid of lines. These two games were the first war games in the West (if not the world), preceding Chess by a millennium.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.055
Threshold uncertainty score0.110

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.010
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.020
GPT teacher head0.196
Teacher spread0.176 · 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
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

Citations4
Published2020
Admission routes2
Has abstractyes

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