Extraversion as a Moderator of the Efficacy of Self-Esteem Maintenance Strategies
Bibliographic record
Abstract
Four experiments explored how extraversion’s connection with self-esteem may depend on specific self-enhancement strategies. Participants’ self-esteem threatening feedback indicating that they had performed poorly on a vocabulary or emotional intelligence test. In Experiment 1, participants ( N = 80) were randomly assigned to either a control condition (no self-enhancement) or a downward social comparison condition. The procedures for Experiments 2 ( N = 470) and 3 ( N = 514) were similar, adding a self-serving attribution condition (Experiments 2 and 3) and Basking-in-Reflected-Glory (BIRG) condition (Experiment 3). Across the experiments, extraversion was more related to self-esteem under downward social comparison versus other conditions. BIRGing produced higher self-esteem in Experiment 3 across extraversion levels. Experiment 4 ( N = 355) focused on downward social comparison versus control, and provided evidence that an increased perception of being similar to the comparison targets may partially explain extraversion’s self-esteem link. Theoretical implications concerning both extraversion and self-enhancement are discussed.
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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 | 0.000 | 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) | 0.001 | 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; a candidate call from one teacher head, not a consensus.
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".