Implicit Theories of Change and Stability Moderate Effects of Subjective Distance on the Remembered Self
Bibliographic record
Abstract
Temporal self-appraisal theory suggests that people can regulate current self-view by recalling former selves in ways that flatter present identity. People critique their subjectively distant (but not recent) former selves, creating the illusion of improvement over time. However, this revisionist strategy might not apply to everyone: People with fixed (entity) beliefs may not benefit from critiquing even distant selves. In three studies, we found that implicit theories of change and stability moderate the effects of subjective distance on the remembered self. In all studies, participants rated past selves portrayed as subjectively close or distant (controlling calendar time). Incremental theorists (but not entity theorists) were more critical of their subjectively distant (but not recent) past attributes. We found the same pattern when measuring existing implicit theories (Studies 1, 2) or manipulating them (Study 3). The present research is the first to integrate temporal self-appraisal theory and the implicit theories literature.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.048 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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 source (direct Gemma or distilled Codex), 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".