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Record W1985627283 · doi:10.2190/ag.65.2.d

Measuring the Character Strength of Wisdom

2007· article· en· W1985627283 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.

Bibliographic record

VenueThe International Journal of Aging and Human Development · 2007
Typearticle
Languageen
FieldPsychology
TopicAging and Gerontology Research
Canadian institutionsLangara College
Fundersnot available
KeywordsGenerativityCronbach's alphaOperationalizationPsychologyConfirmatory factor analysisScale (ratio)Construct validityPsychosocialExploratory factor analysisConstruct (python library)Test (biology)PsychometricsDevelopmental psychologyClinical psychologyStructural equation modelingStatisticsPsychiatryMathematicsCartographyComputer science

Abstract

fetched live from OpenAlex

This study examined the psychosocial correlates and psychometric properties of the Self-Assessed Wisdom Scale (SAWS). Seventy-three men and 98 women ranging in age from 17-92 years (Mean age = 42.77) completed an expanded, 40-item version of the SAWS, the Loyola Generativity Scale, and the Experiences in Close Relationships Scale. A new definition of wisdom is provided which is operationalized with the SAWS. Results indicated that the SAWS has excellent reliability (test-retest = .838; Cronbach's Alpha = .904). Exploratory and Confirmatory Factor analyses confirmed the five hypothesized dimensions of wisdom and the total SAWS score correlated in predicted directions with generativity (r(169) = .448; p < .01) and attachment avoidance (r(169) = -.239, p < .01) demonstrating construct validity.

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)0.002
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.614
Threshold uncertainty score0.143

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.072
GPT teacher head0.367
Teacher spread0.294 · 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