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Adolescents' Emotional Experiences of Mother–Adolescent Conflict Predict Internalizing and Externalizing Symptoms

2008· article· en· W4230853924 on OpenAlexaff
Meredith Gunlicks‐Stoessel, Sally I. Powers

Bibliographic record

VenueJournal of Research on Adolescence · 2008
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsColumbia College
FundersNational Science Foundation
KeywordsPsychologyDevelopmental psychologyTask (project management)Multilevel modelExternalizationSocial psychology

Abstract

fetched live from OpenAlex

Research on adolescent emotion has generally focused on expressions of emotion; however, there are reasons to believe that adolescents' experiences of emotion may be related to adolescent development in unique and important ways. This study examined the relation of adolescents' emotional experiences of conflict with their mothers to their internalizing and externalizing symptoms at three time points, each a year apart. After participating in videotaped conflict negotiation tasks with their mothers, adolescents ( N =80) watched the videotape of their interactions and used a joystick to make continuous ratings of how negative, positive, or neutral they felt during the discussions. Hierarchical Linear Modeling was used to assess relations among their continuous emotion ratings and their internalizing and externalizing symptoms 1 year before the interaction task, at the time of the interaction task, and 1 year later. Adolescents' externalizing symptoms at the time of the conflict task were associated with negative emotion that decreased across the conflict discussion. Relations between emotional experience and internalizing symptoms a year later were moderated by adolescent gender, revealing that a tolerance for increasing negative emotion predicts fewer future internalizing symptoms for girls. The importance of adolescents' ability to tolerate negative emotion during normal developmental conflicts is discussed.

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 score0.097
Threshold uncertainty score0.822

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.089
GPT teacher head0.389
Teacher spread0.300 · 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

Citations17
Published2008
Admission routes1
Has abstractyes

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