Misères et richesses archivistiques : la gendarmerie et la sortie de la Seconde Guerre mondiale
Bibliographic record
Abstract
Entre misère regrettable et richesse inattendue, la situation archivistique de la gendarmerie en guerre est pleine de contrastes. En s’appuyant sur l’expérience de notre thèse de doctorat, nous désirons les éclairer, et présenter les matériaux avec lesquels nous tâtonnons pour dresser l’histoire de la gendarmerie. Pour enrichir le propos, des comparaisons sont établies avec les situations archivistiques de la gendarmerie française ou de la Koninklijke marechaussee néerlandaise. Nous structurons ces sources en réintégrant le corps dans la dynamique des régulations sociales de la fin de l’Occupation. De cette façon, il est aisé d’en démontrer l’intérêt mais aussi les limites face à notre problématique de thèse et pour la recherche dans son ensemble
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.011 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 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".