Coconstruire autrement avec des personnes aînées grâce à la science-fiction: nouveaux regards sur la recherche en robotique d’assistance sociale
Bibliographic record
Abstract
Cette note de recherche vise à présenter comment la science-fiction fut utilisée dans un projet de recherche pour coconstruire une vision commune de la robotique sociale favorisant la participation sociale des personnes aînées. Une recherche-action a été réalisée à l'aide de deux forums d'informateurs-clés regroupant des personnes aînées animés à partir d'extraits d'œuvres cinématographiques de science-fiction dans le but de stimuler leur réflexion. Une analyse de contenu thématique de ces forums a permis de mettre en évidence la contribution de l'usage de la science-fiction dans le cadre de cette démarche de recherche. Trois contributions complémentaires de la science-fiction ont été identifiées, soit 1) les illustrations; 2) les comparaisons et 3) le déclenchement de réflexions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.026 | 0.069 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.009 | 0.014 |
| Scholarly communication | 0.013 | 0.013 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.021 | 0.004 |
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".