Attraction personnelle et attraction sociale : Lorsque la saillance catégorielle annule la relation similitude-attraction.
Bibliographic record
Abstract
La litterature sur l'attraction interpersonnelle a largement demontre que la ressemblance entre les personnes conduisait a l'attraction. L'objectif de cet article est de montrer que le niveau de categorisation de soi module cette relation similitude-attraction. Des eleves etaient amenes a constituer des groupes de travail en selectionnant cinq partenaires dont la proportion de similitude variait. Dans les conditions classiques de non saillance categorielle, la relation similitude-attraction a ete observee. En revanche, lorsque la categorisation de genre a ete rendue saillante de maniere implicite, les eleves n'ont pas manifeste davantage d'attraction pour les partenaires semblables. Les resultats sont discutes dans la perspective de la theorie de l'auto-categorisation et suggerent l'existence de deux formes d'attraction : attraction personnelle et attraction sociale.
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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 | 0.016 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.007 | 0.020 |
| Scholarly communication | 0.001 | 0.005 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".