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Record W2938653310 · doi:10.4000/books.psorbonne.20443

Du cratère sympotique au stamnos funéraire : tombes à armes du Midi de la Gaule (IVe-Ier siècles av. J.-C.)

2002· book-chapter· fr· W2938653310 on OpenAlexaff
Michel Bats

Bibliographic record

VenueÉditions de la Sorbonne eBooks · 2002
Typebook-chapter
Languagefr
FieldArts and Humanities
TopicAncient and Medieval Archaeology Studies
Canadian institutionsCanadian Nautical Research Society
Fundersnot available
KeywordsArtMIDIComputer scienceOperating system

Abstract

fetched live from OpenAlex

Il s’agit de confronter deux séries de tombes, d’une part à Ensérune entre 325 et 250 av. J.-C., d’autre part dans la basse vallée du Rhône (Saint-Laurent-des-Arbres, Beaucaire, Les Baux) dans la première moitié du Ier siècle av. J.-C. (Fig. 1). Leurs points communs sont qu’elles contiennent des armes, qu’elles appartiennent à une zone où l’incinération est de règle depuis l’Âge du Bronze et que le vase cinéraire, cratère, puis stamnos, est lié à un certain type de consommation du vin. Notre ...

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)0.000
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 score0.038
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.016
GPT teacher head0.221
Teacher spread0.205 · 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

Citations7
Published2002
Admission routes1
Has abstractyes

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