Jean-Luc Maurer, Les Javanais du Caillou : des affres de l’exil aux aléas de l’immigration. Sociologie historique de la communauté indonésienne de Nouvelle-Calédonie
Bibliographic record
Abstract
NOUS DEVONS cette tourdissante monographie de sociologie historique l'un des meilleurs spcialistes europens de l'Indonsie, par ailleurs familier du Pacifique insulaire, et aux multiples collaborateurs qu'il a su s'attirer au cours d'une enqute de plusieurs annes tant Java qu'en Nouvelle-Caldonie ; ainsi de ses deux cosignataires, ns dans cette le, de familles d'origine javanaise et relevant ds lors de la catgorie des niaoulis dans le parler caldoche 1 . Si l'on a si peu prt attention aux immigrants de Java dans l'histoire d'une le propos de laquelle les commentaires n'ont oepas manqu ces dernires dcennies, c'est sans doute du fait de leur caractre minoritaire (5 000 recenss actuellement [p. 151] contre 7 500 entre 1948 et 1955 [p. 117], pour une population totale de 240 000 personnes environ au recensement de 2004). Mais c'est sans doute aussi du fait d'une rsilience discrte que l'auteur renvoie la tradition d'un pays du non-dit (p. 278).
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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 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".