Defensive Zeal and the Uncertain Self: What Makes You So Sure?
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
In Studies 1-3, undergraduates with high self-esteem (HSEs) reacted to personal uncertainty-threats with compensatory conviction about unrelated issues and aspects of the self. In Study 1 HSEs reacted to salience of personal dilemmas with increased implicit conviction about self-definition. In Study 2 they reacted to the same uncertainty-threat with increased explicit conviction about social issues. In Study 3, HSEs (particularly defensive HSEs, i.e., with low implicit self-esteem; C. H. Jordan, S. J. Spencer, & M. P. Zanna, 2003) reacted to uncertainty about a personal relationship with compensatory conviction about social issues. For HSEs in Study 4, expressing convictions about social issues decreased subjective salience of dilemma-related uncertainties that were not related to the social issues. Compensatory conviction is viewed as a mode of repression, akin to reaction formation, that helps keep unwanted thoughts out of awareness.
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 | 0.003 |
| 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 it