Introduction. Les terriers de l’abbaye de l’Île‑Barbe du XIVe au XVIIe siècle – Corpus et pistes de recherches
Bibliographic record
Abstract
Les articles réunis dans ce volume de Memini résultent d’un projet de recherche collectif mené à l’Université Laval et à Lyon. De 2016 à 2022, Charlotte Gaillard et Mélanie Foucault, du Service archéologique de la Ville de Lyon (SAVL), ont dirigé un Programme collectif de recherches (PCR) intitulé « Le monastère de l’Île‑Barbe et son territoire ». Charlotte Gaillard avait consacré sa thèse d’archéologie médiévale à l’évolution topographique de ce monastère situé sur une île de la Saône au nor...
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".