La mise en oeuvre d’une conception relationnelle de l’émotion en économie comportementale
Bibliographic record
Abstract
Dans cet article, nous analysons comment la science économique standard, discipline qui a intégré tardivement le domaine de l’affectivité, se confronte aujourd’hui à ce que les historiens des émotions ont appelé le « tournant émotionnel ». Nous prenons appui sur la théorie des émotions en mettant en avant une conception relationnelle de l’affect. La prise en compte de cette dimension relationnelle peut-elle modifier le cadre rationnel caractéristique de l’analyse économique traditionnelle? A partir des travaux sur la coopération de Frans van Winden (2015) et de ses collègues, nous montrons que le tissage de liens affectifs entre individus transforme le problème du « passager clandestin » posé dans les dilemmes sociaux. Ceci ouvre une discussion fondamentale sur la place de l’émotion dans la construction de l’attitude coopérative dans une dynamique spatiale et temporelle.
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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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.016 |
| Scholarly communication | 0.011 | 0.011 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".