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Record W1571372977 · doi:10.4000/archeosciences.2213

Les parures en or de la nécropole thrace de Duvanli du ve siècle av. J.-C. : le cas du tumulus de Kukova

2009· article· fr· W1571372977 on OpenAlexaff
Milena Tonkova, Petia Penkova

Bibliographic record

VenueArchéoSciences · 2009
Typearticle
Languagefr
FieldArts and Humanities
TopicAncient Mediterranean Archaeology and History
Canadian institutionsMusée de la Civilisation
Fundersnot available
KeywordsArtHumanities

Abstract

fetched live from OpenAlex

L’article présente les premiers résultats du projet de création d’une base de données relative aux caractéristiques typologiques, stylistiques et technologiques des parures de l’époque classique et hellénistique de la collection du Musée National d’Archéologie de Sofia. La discussion scientifique porte sur l’origine des bijoux en or de la tombe de Kukova, du tumulus du ve siècle av. J.-C. Ces objets constituent les éléments d’un ensemble original de bijoux de tête et de corps typiques de l’élite thrace également présents dans deux autres riches tombes de la nécropole de Duvanli. Ces parures sont exécutées dans un style qui renvoie à des prototypes grecs, macédoniens et thraces. Les caractéristiques technologiques des bijoux sont examinées au moyen d’analyses semi quantitatives des alliages d’or par la méthode de fluorescence à rayons X et des observations sous un microscope optique digital, afin de diversifier les possibilités de recherche concernant leur origine. L’étude a fourni de nouveaux arguments à la description des groupes stylistiques formés auparavant.

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: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.002
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.024
GPT teacher head0.275
Teacher spread0.251 · 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

Citations2
Published2009
Admission routes1
Has abstractyes

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