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Record W3128773437 · doi:10.1177/0956797620969170

Training for Wisdom: The Distanced-Self-Reflection Diary Method

2021· article· en· W3128773437 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenuePsychological Science · 2021
Typearticle
Languageen
FieldPsychology
TopicIdentity, Memory, and Therapy
Canadian institutionsUniversity of Waterloo
FundersSocial Sciences and Humanities Research Council of CanadaOntario Ministry of Research, Innovation and ScienceJohn Templeton Foundation
KeywordsPsychologyReflection (computer programming)Training (meteorology)Cognitive psychologySocial psychologyPsychoanalysis

Abstract

fetched live from OpenAlex

= 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.

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.710
Threshold uncertainty score0.855

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.165
GPT teacher head0.497
Teacher spread0.332 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it