Does Self-Esteem Have an Interpersonal Imprint Beyond Self-Reports? A Meta-Analysis of Self-Esteem and Objective Interpersonal Indicators
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
Self-esteem promises to serve as the nexus of social experiences ranging from social acceptance, interpersonal traits, interpersonal behavior, relationship quality, and relationship stability. Yet previous researchers have questioned the utility of self-esteem for understanding relational outcomes. To examine the importance of self-esteem for understanding interpersonal experiences, we conducted systematic meta-analyses on the association between trait self-esteem and five types of interpersonal indicators. To ensure our results were not due to self-esteem biases in perception, we focused our meta-analyses to 196 samples totaling 121,300 participants wherein researchers assessed interpersonal indicators via outsider reports. Results revealed that the association between self-esteem and the majority of objective interpersonal indicators was small to moderate, lowest for specific and distal outcomes, and moderated by social risk. Importantly, a subset of longitudinal studies suggests that self-esteem predicts later interpersonal experience. Our results should encourage researchers to further explore the link between self-esteem and one's interpersonal world.
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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.005 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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