Rendre la critique créative. La démarche abductive et pragmatique du design
Bibliographic record
Abstract
La démarche à la fois abductive et pragmatique du design se nourrit du terrain puis s’en détache pour proposer des scénarii à vivre, se préoccupant de l’expérience humaine dans toutes ses dimensions. Sa vocation est d’« améliorer ou au moins maintenir l’habitabilité du monde » (Findeli, 2010, 292). Basé sur un dialogue entre textes et retours d’expériences de l’auteure, designer chercheuse française, cet article vise à dresser un portrait du praticien réflexif et à dessiner quelques jalons pour outiller sa démarche, portée par un questionnement éthique. Les notions théoriques seront interrogées au regard de l’expérience, des rencontres interdisciplinaires, et des paradoxes de l’identité flexible du praticien réflexif. Renégociant perpétuellement son positionnement ainsi que ses outils, c’est une force à la fois critique et créative que celui-ci cherche à exercer dans les entreprises et la société au sens large.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Not applicable | low |
| gpt | no category Domain: not available · Genre: Methods About the Canadian research system: no · About a Canadian topic: no | Theoretical or conceptual | medium |
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 | 0.014 | 0.021 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.005 | 0.048 |
| Scholarly communication | 0.017 | 0.015 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.014 | 0.003 |
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, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".