Au sommet de l'empire : les élites européennes dans les colonies (XVIe-XXe siècle) = At the top of the empire : European elites in the colonies (16th-20th century)
Bibliographic record
Abstract
Contenu/Contents: Claire Laux/Francois-Joseph Ruggiu/Pierre Singaravelou : Reflexions sur l'historiographie des elites imperiales - Francois-Charles Mougel : Les elites europeennes dans les empires coloniaux (XVI -XX siecle). Premisses et methodologie - Mafalda Soares da Cunha : Les elites dans les colonies portugaises a l'epoque moderne - Youri Akimov : Les voivodes siberiens, une elite coloniale a la fin du XVI siecle et au XVII siecle - Amandine Lauro/Valerie Piette : Le Congo belge (1908-1845). Coloniser sans elites ? - L.H. Roper: Big Fish in a Bigger Transatlantic Pond. The Social and Politic Leadership of Early Modern Anglo-American Colonies - Donald Fyson : Domination et adaptation. Les elites europeennes au Quebec, 1760-1841 - Elsbeth Locher-Scholten: The Dead End of 'Dutchification'. Colonial Elites in Indonesia in the 19 th and 20 th Centuries - Elizabeth Buettner: Riding the Elephant or Riding the Bus. Britons, India, and Elite Status in the Late Imperial Era - Leonard Blusse: From the Stoep to the Veranda. Colonial Family Life among the Elite in Ancien Regime Batavia - Martin Thomas : Communautes en contact. Les colons, une elite coloniale en Afrique du Nord au XX siecle - Gian Luca Podesta: Italian Society in the East African Colonies - Winfried Speitkamp: The Imagined Elites. German Elites and the Colonial Empires - Pierre Guillaume : Conclusion.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
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".