Self‐Liking and Self‐Competence Separate Self‐Evaluation From Self‐Deception: Associations With Personality, Ability, and Achievement
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
The similarities between measures of self-evaluation and self-deception are reviewed, and a method for discriminating between them is proposed, using personality profiles and relations to ability and achievement. Across two samples, the Rosenberg Self-Esteem Scale (RSES) and Tafarodi's measures of self-evaluation were used to demonstrate that the RSES and Self-Liking are more similar to Self-Deceptive Enhancement than is self-competence. Further, Self-Competence is uniquely associated with cognitive ability and both academic and creative achievement. It is concluded that, along with self-liking, self-competence is a useful form of self-evaluation that should be measured and taken into account in research that has traditionally focused on self-esteem.
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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) | 0.000 | 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it