Social acceptance and self-esteem: Tuning the sociometer to interpersonal 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
The authors draw on sociometer theory to propose that self-esteem is attuned to traits that garner others' acceptance, and the traits that garner acceptance depend on one's social role. Attunement of self-esteem refers to the linkage, or connection, between self-esteem and specific traits, which may be observed most clearly in the association between self-esteem and specific self-evaluations. In most roles, appearance and popularity determine acceptance, so self-esteem is most attuned to those traits. At the same time, interdependent social roles emphasize the value of communal qualities, so occupants of those roles have self-esteem that is more attuned to communal qualities than is the general norm. To avoid the biases of people's personal theories, the authors assessed attunement of self-esteem to particular traits indirectly via the correlation between self-esteem and self-ratings, cognitive accessibility measures, and an experiment involving social decision making. As hypothesized, self-esteem was generally more attuned to appearances than to communal qualities, but interdependent social roles predicted heightened attunement of self-esteem to qualities like kindness and understanding.
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.
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 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 it