Pierre Daum, Clément Baloup, Les Linh Tho’. Immigrés de Force. Mémoires de Viet Kieu
Bibliographic record
Abstract
Pierre Daum, le journaliste et essayiste, et Clément Baloup, le bédéiste, étaient faits pour se rencontrer. Ils ont en commun l’histoire de l’immigration vietnamienne. Le second en a fait le thème de nombre de ces albums, à commencer par son triptyque intitulé Mémoires de Viet Kieu consacré aux Vietnamiens expatriés. Quant au premier, on lui doit des enquêtes sur les Pieds-noirs ou les Harkis et celle, fouillée, sur ces Immigrés de force. Les travailleurs indochinois de France (1939-1952) (Ac...
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".