Conférences de Stefan Winter, Professeur au Département d'histoire de l'Université du Québec à Montréal - 14-16-17-29/05/2018
Bibliographic record
Abstract
Stefan Winter est spécialiste de la Syrie à l’époque ottomane. Diplômé de l’Université de Toronto et de l’Université de Chicago (PhD 2002), il consacre ses recherches au peuplement rural et au tribalisme à travers les documents administratifs ottomans. Son projet de monographie actuelle porte sur l’émirat des bédouins Mawali dans la moyenne vallée de l’Euphrate au XVIIIe siècle. Conférences Le peuplement kurde et turkmène de la Syrie centrale à l’époque ottomane Tandis que les populations non...
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.001 | 0.008 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.049 | 0.005 |
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; both teacher heads agree on what is shown here.
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".