Avis de soutenance. Céline PEssis "Défendre la Terre. Scientifiques Critiques et mobilisations Environnementales des années 1940 aux années 1970". 8 février 2019
Bibliographic record
Abstract
Céline Pessis soutiendra sa thèse intitulée "Défendre la terre. Scientifiques critiques et mobilisations environnementales des années 1940 aux années 1970". Elle aura lieu le vendredi 08 février à 14h30 au Centre Alexandre Koyré, 27 rue Damesme, Paris 13eme (salle du rez de chaussée "Alcyon", à droite en entrant). Le jury sera composé de : Isabelle Sourbès-Verger (Ehess, directrice de thèse), Stéphane Castonguay (Université du Québec à Trois-Rivières, rapporteur), Joëlle Le Marec (Université...
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.065 | 0.019 |
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".