The robust self-esteem proxy: Impressions of self-esteem inform judgments of personality and social value
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
People use impressions of an evaluative target’s self-esteem to infer their possession of socially desirable traits. But will people still use this self-esteem proxy when trait-relevant diagnostic information is available? We test this possibility in two experiments: participants learn that a target person has low or high self-esteem, and then receive diagnostic information about the target’s academic success or failure and positive or negative affectivity (Study 1), or watch a video of the target’s extraverted or introverted behavior (Study 2). In both experiments, participants’ impressions of the target’s traits accurately tracked diagnostic information, but impressions also revealed an independent self-esteem proxy effect. Evidently, the self-esteem proxy is robust and influences person perception even in the presence of vivid individuating information.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it