The Unconscious Cost of Good Fortune: Implicit and Explicit Self-Esteem, Positive Life Events, and Health.
Bibliographic record
Abstract
J. D. Brown and K. L. McGill (1989) found that positive life events were associated with better health only for people high in self-esteem. Among people low in self-esteem, positive life events were associated with poorer health. The authors of this study replicated this finding in a self-report survey of 61 male and 110 female college students. In addition, they showed that implicit self-esteem moderated the relation between positive life events and self-reported health in the same fashion as explicit self-esteem did. Whereas people high in implicit self-esteem reported being healthier when they experienced more positive life events, people low in implicit self-esteem reported being healthier when they experienced fewer positive life events. Moreover, the effects of implicit self-esteem were statistically independent of the effects of explicit self-esteem.
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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 | 0.002 | 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 | 0.001 | 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) | 0.000 | 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 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".