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Record W3170007060 · doi:10.1177/02724316211020360

Conflict Resolution and Emotional Expression in Sibling and Mother-Adolescent Dyads: Within-Family and Across-Context Similarities

2021· article· en· W3170007060 on OpenAlexafffund
Saskia Ferrar, Dale M. Stack, Katrina S. Baldassarre, Arielle Orsini, Lisa A. Serbin

Bibliographic record

VenueThe Journal of Early Adolescence · 2021
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsConcordia University
FundersSocial Sciences and Humanities Research Council of CanadaFonds de Recherche du Québec-Société et Culture
KeywordsPsychologyDevelopmental psychologySiblingAffect (linguistics)Context (archaeology)Family conflictConflict resolutionSocial psychologySibling relationshipCommunication

Abstract

fetched live from OpenAlex

= 32) in their homes. The verbal conflict behaviors and affect of family members were coded continuously. Sequential analyses identified temporal associations between individuals' affect and their own and their partners' verbal conflict behaviors. In addition, within-family and across-context similarities in behavior were examined. Results revealed that while many links between emotion and behavior were consistent with previous research (e.g., attack/assert when frowning/upset, withdraw/concede when sad), several differences emerged depending on the relationship (sibling vs. mother-adolescent) and position in the family (e.g., adolescent vs. mother). Furthermore, many within-family similarities were observed in responses to emotion, while adolescents showed few similarities in their behavior across contexts. Results are discussed in relation to the developmental context of early adolescence and family systems theory.

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 score0.174
Threshold uncertainty score0.475

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 head0.039
GPT teacher head0.303
Teacher spread0.264 · 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

Citations7
Published2021
Admission routes2
Has abstractyes

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