Les Innovateurs à l'école et à la bibliothèque des scientifiques « en or »
Bibliographic record
Abstract
Mathématiques, biologie, chimie, génie... Les sciences et les technologies se conjuguent de mille et une manières. Avec ses ateliers gratuits, le programme des Innovateurs vous propose d'explorer la diversité des champs de recherche de la science, mais aussi d'offrir à vos élèves une occasion unique d'échanger directement avec ceux et celles qui oeuvrent dans les laboratoires, les centres de recherche et les entreprises du Québec.\nLa science n'est pas seulement un ensemble de connaissances. C'est aussi une attitude, un état d'esprit. En faisant la promotion de l'éducation scientifique, nous contribuons non seulement à former les chercheurs et les découvreurs de demain, mais aussi à ouvrir notre société sur le monde.\nPuissent ces scientifiques « en or » transmettre à vos élèves leur enthousiasme indéfectible pour les savoirs scientifiques et techniques... en allumant dans leurs yeux les belles étoiles de la curiosité !
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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 | 0.007 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.011 | 0.015 |
| Scholarly communication | 0.020 | 0.008 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.107 | 0.027 |
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".