Training for Wisdom: The Distanced-Self-Reflection Diary Method
Bibliographic record
Abstract
= 555) tested whether encouraging distanced (i.e., third-person) self-reflection would help promote wisdom. Both experiments measured wise reasoning (i.e., intellectual humility, open-mindedness about how situations could unfold, consideration of and attempts to integrate diverse viewpoints) about challenging interpersonal events. In a month-long experiment (Study 1), participants used either a third- or first-person perspective in diary reflections on each day's most significant experience. Compared with preintervention assessments, assessments made after the intervention revealed that participants reflecting in the third person showed a significant increase in wise reasoning about interpersonal challenges. These effects were statistically accounted for by shifts in diary-based reflections toward a broader self-focus. A week-long experiment (Study 2) replicated the third-person self-reflection effect on wise reasoning (vs. first-person and no-pronoun control conditions). These findings suggest an efficient and evidence-based method for fostering wise reasoning.
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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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".