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Record W4401484054 · doi:10.1080/00221325.2024.2386016

Interrelations Among Adolescents’ Family Connections, Solitude Preferences, Theory of Mind and Perceptions of Academic and Work Competence

2024· article· en· W4401484054 on OpenAlexaffabout
Megan Jones, Sandra Bosacki, Victoria Talwar

Bibliographic record

VenueThe Journal of Genetic Psychology · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicPsychosocial Factors Impacting Youth
Canadian institutionsMcGill UniversityBrock University
Fundersnot available
KeywordsSolitudePerceptionPsychologyCompetence (human resources)Social psychologyDevelopmental psychology

Abstract

fetched live from OpenAlex

This study explored the links among family connections, solitude preferences, perceptions of work (academic and job) competence, and Theory of Mind (ToM) in 73 Canadian adolescents aged 11-18 (M age = 13.1). Previous studies show significant connections among these factors, although little is known about how such associations may relate to one another, especially the role of young people's perceptions. To address these gaps in the literature, this study focused on adolescents' experiences and perceptions of their family relationships, solitude preferences, and competence in the school context and workplace. Participants completed a series of self-report measures, advanced ToM tasks and written explanation for perceived family emotional connections. Results revealed that adolescents with more positive family connections reported higher levels of self-perceived academic and job competence, embraced solitude positively, yet felt less desire to be alone. Girls showed a higher affinity for solitude than boys, and the presence of more siblings reduced the desire for solitude. Those youth who were proficient in ToM skills reported positive family connections and high levels of academic competence. Findings hold implications for future research and education in adolescent's social cognition and social and academic outcomes.

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 score0.113
Threshold uncertainty score0.511

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 studies0.0000.001
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 head0.050
GPT teacher head0.370
Teacher spread0.321 · 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

Citations1
Published2024
Admission routes2
Has abstractyes

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