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.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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; both teacher heads agree on what is shown here.
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".