Experimental evidence on personality traits and preferences
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Using an experiment, we test the relation between personality traits and revealed risk and ambiguity preferences, and we consider the effects of personality traits prevalence in a group on the decision making of each group member. In the experiment, subjects reveal their risk and ambiguity preferences through lottery choices. They then participate in an unstructured group chat. Afterwards, they are given the chance to revise their initial lottery choices. Results show that personality traits affect ambiguity but not risk preferences before the chat. Specifically, agreeableness is negatively related to ambiguity aversion. We also show that the probability of changing decisions after the chat is affected by the individual's personality traits but not by the traits of the other group members. The latter only affects the direction and the degree of the change.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it