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Record W4224452029 · doi:10.2478/bgs-2022-0003

<i>Why so Serious?</i> An Extraordinary Cone Shell Group from Mycenae and the Problem of Identifying Mycenaean Board Gaming Material

2022· article· en· W4224452029 on OpenAlexaboutno aff
Vassiliki Pliatsika, Jacqueline Meier

Bibliographic record

VenueBoard Game Studies Journal · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicAncient Near East History
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Assemblage (archaeology)Artifact (error)ExcavationArchaeologyInterpretation (philosophy)GeologyQuarter (Canadian coin)HistoryComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

Abstract In 1974 in Room Θ3 of House Θ in the Southwest Quarter of the Mycenae citadel, an extraordinary find came to light: 545 conus mediterraneus ventricosus shells were found together with 12 small objects in a crevice of the bedrock. 353 cones were intentionally pierced and ground, and 9 of them were filled with lead. This assemblage includes the largest collection of cone shells known from the Late Bronze Age Aegean, and it is now possible to attempt an interpretation of its use, after the publication of the Southwest Quarter excavation. The find is examined in detail, in comparison to other large cone shell groups from Mycenaean contexts. The facts suggest that the Θ3 assemblage artefacts could have been markers for a kind of game, for which games of strategy, skill and chance known in the Eastern Mediterranean, are suggested as possible candidates. Under this hypothesis, context finds from the Room Θ3 deposit are also examined. This study highlights the difficulty in identifying the material remains of board games, as well as the need to include the game – being a basic human activity- in the potential interpretations of archaeological records from the Mycenaean period.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.671
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0030.002
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.032
GPT teacher head0.241
Teacher spread0.209 · 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 designQualitative
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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