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Record W4283733895 · doi:10.1080/00221325.2022.2094210

Evaluating Links between Social Withdrawal Motivations and Indices of Psychosocial Adjustment among Norwegian Emerging Adults

2022· article· en· W4283733895 on OpenAlexaff
Nora Braathu, Evalill Bølstad, Julie C. Bowker, Robert J. Coplan

Bibliographic record

VenueThe Journal of Genetic Psychology · 2022
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsCarleton University
Fundersnot available
KeywordsLonelinessShynessNorwegianPsychologyPsychosocialSocial anxietyPsychological interventionClinical psychologyMental healthSocial supportContext (archaeology)Life satisfactionSocial isolationAnxietyDevelopmental psychologySocial psychologyPsychiatry

Abstract

fetched live from OpenAlex

Social withdrawal is the behavioral tendency to remove oneself from social situations – a tendency that often contributes to reductions in individuals’ mental health. The current study evaluated the links between different motivations for social withdrawal (shyness, unsociability, social avoidance) and indices of psychosocial adjustment in a Norwegian sample of emerging adults. Participants were N = 194 Norwegian university students who completed self-report measures of life satisfaction, loneliness, and depressive symptoms, as well as withdrawal motivations. Among the results, a newly translated version of the Social Preference Scale-Revised (SPS-R) was validated for use in Norway. Findings showed that shyness was uniquely and positively associated with loneliness and depressive symptoms, as well as lower life satisfaction, whereas social avoidance was positively associated with depressive symptoms. Unsociability was uniquely linked to lower levels of loneliness and depressive symptoms. Findings provide novel information about the psychosocial correlates of social withdrawal motivations during emerging adulthood in the under-explored cultural context of Norway. Understanding nuances in the correlates of different motivations may aid in the development of culturally and developmentally sensitive interventions.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.399
Threshold uncertainty score0.780

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.035
GPT teacher head0.351
Teacher spread0.316 · 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 teacher head, 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

Citations11
Published2022
Admission routes1
Has abstractyes

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