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Record W4417335569 · doi:10.1080/00221325.2025.2599530

Predictors of Coping in Adolescence: The Influence of Temperament and Parenting Styles

2025· article· en· W4417335569 on OpenAlexaff
Simona Scaini, Barbara Forresi, Arianna Belloli, Marcella Caputi

Bibliographic record

VenueThe Journal of Genetic Psychology · 2025
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsChild, Adolescent and Family Mental Health
Fundersnot available
KeywordsCoping (psychology)TemperamentPsychological interventionMaladaptive copingSocial supportAvoidance copingParenting styles

Abstract

fetched live from OpenAlex

Coping strategies are essential for adolescents' socio-emotional well-being and academic success. This study aims to explore the predictive role of temperament traits, parental care, and overprotection in shaping adolescents' coping strategies. A cross-sectional design was employed to collect data from 1,195 Italian adolescents aged 14-18 years. Stepwise regression analyses were conducted to identify significant predictors of coping strategies. Findings revealed that temperament traits, particularly depressive and cyclothymic temperaments, were the strongest predictors of coping strategies. High parental care perceived by adolescents promoted adaptive coping strategies such as Social Support and Problem Solving, whereas lower parental care levels perceived by adolescents were linked to Avoidance coping strategies. Temperament traits play a more prominent role than parenting in shaping adolescents' coping strategies, suggesting that interventions should focus on biological predispositions while fostering a supportive -family environment.

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 score0.016
Threshold uncertainty score0.207

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 studies0.0000.000
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 head0.014
GPT teacher head0.306
Teacher spread0.292 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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