Vient de paraître : « Les territoires de l’autochtonie : Penser la transformation des rapports sociaux au prisme du "local" »
Bibliographic record
Abstract
Source (image et contenu) : PU Grenoble Émilie AUNIS, Joachim BENET, Arnaud MEGE et Isabelle PRAT (dir.), « Les territoires de l’autochtonie : Penser la transformation des rapports sociaux au prisme du "local" ». Presses Universitaires de Rennes, 2016 (Espace et Territoires) Cet ouvrage, qui a reçu le soutien de l'Université de Poitiers, a été écrit sous la direction d'Émilie Aunis (docteure en sociologie et post-doctorante à l'Université de Laval), Joachim Benet (doctorant en sociologie au G...
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.000 | 0.009 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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; 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".