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Record W4387771324 · doi:10.1177/02724316231207282

Loneliness and Aloneliness as Mediators of the Associations Between Social Withdrawal and Internalizing Problems in Late Childhood and Early Adolescence

2023· article· en· W4387771324 on OpenAlexaff
Matilde Brunetti, Stefania Sette, Emiddia Longobardi, Fiorenzo Laghi, Robert J. Coplan

Bibliographic record

VenueThe Journal of Early Adolescence · 2023
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsCarleton University
FundersSapienza Università di Roma
KeywordsLonelinessShynessPsychologySocial anxietySocial withdrawalAnxietyDepression (economics)Developmental psychologyClinical psychologyLate childhoodPsychiatry

Abstract

fetched live from OpenAlex

The main aim of this study was to investigate a conceptual model linking subtypes of social withdrawal, social/asocial dissatisfaction, and internalizing problems in late childhood and early adolescence. Participants were N = 459 students ( n = 247 girls) aged 8–14 years ( M = 11.24, SD = 1.66), who completed self-reports assessments of social withdrawal subtypes (i.e., shyness and unsociability), loneliness and aloneliness, and internalizing problems (i.e., social anxiety and depression). Results from path analyses revealed that shyness was associated with social anxiety and depression via loneliness, whereas unsociability was related to depression and social anxiety via loneliness and associated with depression via aloneliness. Findings also suggested some moderating effects of age. This study highlights the contribution of loneliness and aloneliness in the link between social withdrawal subtypes and internalizing problems in late childhood and early adolescence.

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 score0.020
Threshold uncertainty score0.443

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.019
GPT teacher head0.277
Teacher spread0.258 · 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

Citations16
Published2023
Admission routes1
Has abstractyes

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