Appel à communications : Colloque interuniversitaire francophone en études ludiques (CIFEL) - Pouvoir et vulnérabilité (Montréal)
Bibliographic record
Abstract
Colloque interuniversitaire francophone en études ludiques (CIFEL) - Pouvoir et vulnérabilité Dates : 13, 14 et 15 juin 2024 Lieu : Campus de Montréal de l’Université du Québec en Abitibi-Témiscamingue Échéance des proposition : 9 février 2024 Organisé par l'Université de Montréal, Concordia, l'Université du Québec à Montréal et Université du Québec en Abitibi-Témiscamingue Texte de l'appel Fort du succès de sa première édition, le Colloque interuniversitaire francophone en études ludiques...
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.006 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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; 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".