Distant lands and diverse cultures : the French experience in Asia, 1600-1700
Bibliographic record
Abstract
Introduction Thevenot the Tourist: A Frenchman Abroad in the Ottoman Empire by Glenn Sundeen A Veritable Bedouin: The Chevalier d'Arvieux in the Camp of the Emir Turabey by Deirdre Pettet Secrets of the Seraglio: Harem Politics and the Rhetoric of Imperialism in the Travels of Sir Jean Chardin by S. Amanda Eurich The French and Poncet's Ethiopia, 1698-1703 by Ronald S. Love and Theodore Natsoulas The Travails of Madagascar: Rennefort's Relation du premier voyage de la Compagnie des Indies Orientales by Carl J. Sobocinski Wonders of Nature, Diversity of Events: The Voyage of Francois Pyrard de Laval by Diane S. Margolf Tavernier's Travels in India by Anne York Mughal India During the Age of the Scientific Revolution: Francois Bernier's Travels and His Lessons for Absolutist Europe by Glenn J. Ames A Young Physician on the Move: Dellon's Relation s'un voyage des Indes Orientales and his Relation de l'Inquisition de Goa by Glenn J. Ames Simon de La Loubere: French Views of Siam in the 1680s by Ronald S. Love In Search of a Passage to China: A French Jesuit's Perceptions of Siberia in the 1680s by Ronald S. Love The Search for Souls in China: Le Comte's Nouveaux Memories by Linda and Marsha Frey Index
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Science and technology studies | 0.019 | 0.007 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 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".