Compétences collaboratives pour la recherche et le développement responsable des technologies quantiques - Note de synthèse
Bibliographic record
Abstract
Ce document constitue une note de synthèse du colloque "Compétences collaboratives pour la recherche et le développement responsable des technologies quantiques" (Colloque 17) tenu le 6 mai 2025 lors du 92ème Congrès de l'Acfas à Montréal, Québec, Canada. Le colloque a exploré le rôle des compétences collaboratives comme pont entre les disciplines dans le développement responsable des technologies quantiques. La journée s'est articulée autour de quatre sessions : un panel d'experts sur les défis interdisciplinaires, un atelier sur les situations-types de collaboration, des présentations sur la formation aux compétences collaboratives, et un atelier d'idéation sur les outils et méthodes collaboratives. Les discussions ont mis en évidence l'importance de la collaboration interdisciplinaire et intersectorielle, tout en identifiant des défis spécifiques aux technologies quantiques : complexité technique, enjeux de souveraineté, évolution rapide, et nécessité de développer l'intelligence émotionnelle. Le document propose plusieurs niveaux de formation pour soutenir le développement de ces compétences chez les chercheurs, formateurs et acteurs industriels. Document issu du projet Dialogues Quantiques (2023-2026).
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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 | 0.042 | 0.068 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.011 | 0.011 |
| Science and technology studies | 0.010 | 0.012 |
| Scholarly communication | 0.021 | 0.016 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.033 | 0.005 |
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".