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Record W2068496416 · doi:10.1159/000079126

Off-Target Verbosity, Everyday Competence, and Subjective Well-Being

2004· article· en· W2068496416 on OpenAlex
Tannis Y. Arbuckle, Dolores Pushkar, Sylvie Bourgeois, Lucie Bonneville

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

VenueGerontology · 2004
Typearticle
Languageen
FieldPsychology
TopicAging and Gerontology Research
Canadian institutionsConcordia University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsLonelinessPsychologyCompetence (human resources)Everyday lifeDevelopmental psychologySocial psychology

Abstract

fetched live from OpenAlex

BACKGROUND: Off-target verbosity (OTV), defined as prolific speech that is lacking in focus, is exhibited by relatively few older adults, but increases in prevalence with age. OBJECTIVE/METHODS: The hypothesis that a high level of OTV is associated with declining competence in other aspects of everyday life was examined in 142 older adults, previously screened for the level of OTV. Competence was assessed based on self-reported changes since age 50 years in quality and quantity of engagement in eleven domains of instrumental and voluntary activities of everyday life. RESULTS: Path models indicated that a high level of OTV was associated with a decreased competence in everyday activities and was indirectly linked, through competence, with lower well-being and greater loneliness. With competence level controlled, a high level of OTV directly predicted less loneliness. CONCLUSIONS: These findings support the hypothesis that a high level of OTV is symptomatic of a more general decline in competence and of less successful aging. However, a high level of OTV also entails a strong motivation for talking to others and thus may offer protection against loneliness.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.300
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.027
GPT teacher head0.334
Teacher spread0.307 · 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