Examining Beliefs About the Benefits of Self-Affirmation for Mitigating Self-Threat
Bibliographic record
Abstract
Self-affirmation—reflecting on a source of global self-integrity outside of the threatened domain—can mitigate self-threat in education, health, relationships, and more. Whether people recognize these benefits is unknown. Inspired by the metamotivational approach, we examined people’s beliefs about the benefits of self-affirmation and whether individual differences in these beliefs predict how people cope with self-threat. The current research revealed that people recognize that self-affirmation is selectively helpful for self-threat situations compared with other negative situations. However, people on average did not distinguish between self-affirmation and alternative strategies for coping with self-threat. Importantly, individual differences in these beliefs predicted coping decisions: Those who recognized the benefits of self-affirmation were more likely to choose to self-affirm rather than engage in an alternative strategy following an experience of self-threat. We discuss implications for self-affirmation theory and developing interventions to promote adaptive responses to self-threat.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".