Occupations de hauteur et sites fortifiés dans le Jura méridional et les Alpes françaises du Nord (âge du Bronze / Premier âge du Fer)
Bibliographic record
Abstract
Cet article dresse le bilan de nos connaissances actuelles sur les occupations de hauteur et les sites fortifiés du Jura méridional et des Alpes françaises du Nord, dans la fourchette chronologique retenue pour la table ronde d’Orgnac (âge du Bronze / Premier âge du Fer). Il concerne quatre départements de l’est et du nord-est de la région Auvergne-Rhône-Alpes : l’Ain, l’Isère, la Savoie et la Haute-Savoie. Ceux-ci forment un ensemble géographique cohérent, entre l’axe Saône-Rhône et les Alpes internes, complémentaire des autres secteurs appréhendés à l’occasion de cette réunion et présentés dans ce volume : Beaujolais (B. Dubuis), Drôme-Ardèche (P. Dutreuil, F. Granier, R. Furestier, L. Lacheray, F. Sergent, F. Delrieu, E. Durand), Haute-Loire (M.-C. Kurzaj, J.-L. Voruz), Puy-de-Dôme (F. Couderc, P.-Y. Milcent), Côte-d’Or (A. Coulaud) et Franche-Comté (J.-F. Piningre).
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".