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Record W2153525610 · doi:10.1080/02673843.2009.9748015

Parental Meta-Emotion and Temperament Predict Coping Skills in Early Adolescence

2009· article· en· W2153525610 on OpenAlexaff
Daniel G. Lagacá-Ságuin, Angela Gionet

Bibliographic record

VenueInternational Journal of Adolescence and Youth · 2009
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsMount Saint Vincent University
Fundersnot available
KeywordsTemperamentPsychologyCoping (psychology)Developmental psychologyParenting stylesPersonalityClinical psychologySocial psychology

Abstract

fetched live from OpenAlex

ABSTRACT The purpose of the current study was to explore if parental emotional styles and adolescent temperament could predict various patterns of coping in adolescence. Previous research studies have shown significant correlations between parenting styles and aspects of child development, such as the ability to regulate emotions and cope with stressful situations. However, within the context of parental meta-emotion, previous research has not directly focused on how parental meta-emotion predicts coping skills in children and how temperament may moderate this association. In the current study, 37 students (between the ages of 10 and 13 years) and their parents completed a number of questionnaires to assess parental meta-emotion, adolescent temperament, and coping skills. Many significant interactions were found and are discussed in terms of the types of coping strategies that adolescents employ and how the strategies relate to their own temperamental dispositions and parents' parenting styles. From this, implications and future directions are provided.

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)0.000
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 score0.090
Threshold uncertainty score0.525

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.022
GPT teacher head0.291
Teacher spread0.269 · 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

Citations18
Published2009
Admission routes1
Has abstractyes

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