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Record W2085947825 · doi:10.1177/0146167211432762

Social Roles, Basic Need Satisfaction, and Psychological Health

2012· article· en· W2085947825 on OpenAlexaff
Amelia E. Talley, Lucie Kocum, Rebecca J. Schlegel, Lisa Molix, B. Ann Bettencourt

Bibliographic record

VenuePersonality and Social Psychology Bulletin · 2012
Typearticle
Languageen
FieldPsychology
TopicPsychological Well-being and Life Satisfaction
Canadian institutionsSaint Mary's University
FundersNational Cancer InstituteNational Institute on Alcohol Abuse and Alcoholism
KeywordsPsychologyAutonomySpouseSocial psychologyCompetence (human resources)Depressive symptomsSocial competenceDevelopmental psychologyClinical psychologySocial changeAnxietyPsychiatry

Abstract

fetched live from OpenAlex

The authors propose that competence need fulfillment within valued role domains (i.e., spouse, parent, worker) will account, in part, for associations between autonomy and relatedness need fulfillment and psychological health. Testing these assertions in cross-sectional and longitudinal surveys of women in two independent community samples, the findings are the first to formally examine whether the satisfaction of competence needs within social roles accounts for associations between other types of need satisfaction and affective outcomes as well as depressive symptomology. Evidence supporting the hypothesis was stronger when examining individuals' affective health as compared to their depressive symptoms. Implications of the findings are discussed with regard to need fulfillment within social roles.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.080
GPT teacher head0.395
Teacher spread0.315 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations40
Published2012
Admission routes1
Has abstractyes

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