Bibliographic record
Abstract
J'ai été profondément affectée par le départ d'André Giordan, ce 30 mai 2023, car son amitié était un cadeau dans ma vie et il a été un mentor inspirant pour tous mes projets didactiques.Ses œuvres pédago-scientifico-didactico-artistico-littéraires occupent deux planches de ma bibliothèque.Elles ont été traduites dans de nombreuses langues et lui ont apporté une notoriété mondiale.Choisir parmi celles-ci m'est difficile, je préfère vous décrire l'humanité de cet homme, à qui je dois tellement, en vous laissant ci et là quelques-uns de ses titres essentiels. 2 Boulimique de la vie (qu'il a partagée entre Paris, Nice et Genève), André Giordan était ouvert, curieux de tout, voire même un peu hyperactif et toujours en interaction avec Hommage à André Giordan pour son engagement environnemental Éducation relative à l'environnement, Volume 18-1 | 2023
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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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.004 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.053 | 0.022 |
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".