Romain Bertrand, Le long remords de la conquête, Manille-Mexico-Madrid, L’affaire Diego de Ávila (1577-1580)
Bibliographic record
Abstract
Après L’histoire à parts égales. Récits d’une rencontre Orient-Occident (XVIe-XVIIe siècle) [Seuil, 2011], ouvrage où il étudiait les interactions entre Hollandais et Javanais dans l’espace indonésien, Romain Bertrand poursuit son enquête ethnographique des situations de contacts en Insulinde, cette fois-ci aux confins de l’hémisphère hispanique, aux Philippines, dans le dernier quart du XVIe siècle. À travers l’étude extrêmement minutieuse du dossier des actes d’un procès en haute justice à ...
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".