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Record W2314840902 · doi:10.1177/0146167216638075

The Many Faces of Wisdom

2016· article· en· W2314840902 on OpenAlex
Nic M. Weststrate, Michel Ferrari, Monika Ardelt

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

VenuePersonality and Social Psychology Bulletin · 2016
Typearticle
Languageen
FieldPsychology
TopicAging and Gerontology Research
Canadian institutionsUniversity of Toronto
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPsychologySocial psychology

Abstract

fetched live from OpenAlex

Psychological research on wisdom has flourished in the last 30 years, much of it investigating laypeople's implicit theories of wisdom. In three studies, we took an exemplar and prototype approach to implicit wisdom theories by asking participants to nominate one or more cultural-historical figures of wisdom. Study 1 revealed that individuals draw from a wide range of wisdom exemplars, with substantial agreement on the most iconic figures. In Study 2, multidimensional scaling analysis of exemplars revealed practical, philosophical, and benevolent prototypes; follow-up analyses indicated that prototypes differed in familiarity, likability, and perceived wisdom. Study 3 showed that individuals nominated exemplars from the practical prototype more frequently than from the philosophical and benevolent prototypes and that prototype nomination depended in part on nominator characteristics. These studies suggest that exemplar- and prototype-based implicit wisdom theories are consistent with explicit psychological theories of wisdom.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.450
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.064
GPT teacher head0.401
Teacher spread0.337 · 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