Bibliographic record
Abstract
Cette lecture de Léon l’Africain. Un voyageur entre deux mondes de Natalie Zemon Davis privilégie l’aspect de la recherche, et de la narration, qui rapporte des tableaux de culture du sud de la Méditerranée, au début de l’âge moderne, avec des panoramas provenant de la côte nord. Le défi consiste à considérer la Méditerranée du xviesiècle en tant que centre de beaucoup de questions à démêler. Mais surtout, on souligne que le personnage de Léon l’Africain –Yuhanna al-Asad, ou Hasan al-Wazzan– originaire de Grenade, musulman, diplomate à la cour de Fès, capturé en 1518 lors d’un voyage sur un bateau le long de la côte nord-africaine, qui vécut à Rome et voyagea en Europe puis en Afrique, a représenté pour Natalie Zemon Davis le témoignage de la possibilité d’une identité méditerranéenne qu’on peut nommer pré-moderne (ou bien pré-tridentine). La méthode d’écriture des mémoires de voyage de Léon au xviesiècle, comme du livre de l’historienne canadienne au xxie, se caractérise par le respect, la compréhension, l’observation, la tolérance et ce que l’on appelle aujourd’hui l’« interculturel ».
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".