«L'Union fait la force, aidons-nous les uns les autres» : Towards a historical geography of fraternal associations in Loir-et-Cher (France) 1815-1914
Bibliographic record
Abstract
Alan R. H. Baker est spécialiste de géographie historique et de la France rurale. Il a signé et cosigné plusieurs ouvrages et articles à caractère épistémologique et méthodologique. En avril 1997, il était l'invité du Laboratoire de géographie historique de l'Université Laval, composante du Centre interuniversitaire d'études québécoises qui associe également le Centre d'études québécoises de l'Université du Québec à Trois-Rivières. En plus de participer aux activités régulières du Centre, Alan Baker a présenté un aspect de ses travaux sur le Loir-et-Cher. Nous sommes honorés d'en faire état dans ces pages, qui inaugurent aussi la Collection Cheminements-Conférences.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.012 | 0.007 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".