Valle Giumentina (Abruzzes, Italie), huitième mission : étude des comportements techno-économiques au Pléistocène moyen
Bibliographic record
Abstract
Objectifs et principaux résultats de la mission de terrain 2019 Valle Giumentina est un gisement des Abruzzes du Paléolithique ancien et moyen en plein air, connu grâce aux travaux approfondis des années 1950 menés par le préhistorien A. M. Radmilli et le géographe J. Demangeot. Sept horizons archéologiques avaient été mis au jour en contexte globalement lacustre, à la faveur d’une ravine profonde qui a incisé les dépôts du Pléistocène jusqu’à 25 m de profondeur. Les recherches pluridisciplin...
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
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 teacher head, 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".