Les figurines de Tarse. Partie I. Contexte historique et spécificités techniques
Bibliographic record
Abstract
Le site du mont Gözlükule à Tarse (en Cilicie) a livré depuis le milieu du xixe siècle plus de 2000 figurines en contextes d’habitat, de tombes et d’ateliers artisanaux. L’étude des figurines conservées au Louvre et dans la maison de fouilles de Tarse a permis d’observer des spécificités techniques propres à ces ateliers de production coroplathique (usage de moules en plâtre, ajouts d’éléments en plâtre sur des exemplaires en argile, revers lisses, riche polychromie débordante…). Ces particularités observées à l’œil nu nécessitaient d’être enrichies par des analyses archéométriques, techniques et de polychromie réalisées par le Centre de recherches et de restauration des musées de France sur une vingtaine de figurines du Louvre.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".