Deux voyageurs français aux Philippines : La Pérouse en 1787, Jurien de la Gravière en 1848-50 : regarder le Pacifique depuis un bateau
Bibliographic record
Abstract
Les deux navires de La Pérouse étaient peuplés de savants. À leurs yeux, la capacité et la dignité des détenteurs du pouvoir espagnol qui les ont reçus ne suffisent pas à compenser l’absurdité des lois qui régissent l’archipel : c’est un trésor en friche. Malgré l’efficacité du personnel de l’arsenal de Cavite, leur vision des Malais est plutôt négative.Au milieu du XIXe siècle, le marin écrivain Jurien de la Gravière a pu comparer l’exploitation sévère pratiquée par les Hollandais avec le laxisme des Espagnols qui laisse aux natifs une dose de bonheur de vivre. Il se demande quelle est la « bonne colonisation ». Ses descriptions sont précieuses et il note que la multiplication des métis va poser de sérieux problèmes au pouvoir espagnol.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".