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Record W7056472010

Emotion Regulation in At-Risk Mother-Child Dyads During Middle Childhood: 
\nAssociations with Concurrent Functioning and Adolescent Outcomes

2017· dissertation· en· W7056472010 on OpenAlexfundno aff

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2017
Typedissertation
Languageen
FieldEngineering
TopicParticle accelerators and beam dynamics
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaCanadian Psychological AssociationConcordia UniversitySociety for Research in Child DevelopmentUniversity of Ottawa
KeywordsPsychosocialPopulationCircumstantial evidenceSet (abstract data type)Observational study
DOInot available

Abstract

fetched live from OpenAlex

The two studies that make up the present dissertation were designed to investigate the emotion regulation abilities of school-aged children and their mothers in two different samples of families at-risk for negative psychosocial outcomes. Specifically, it examined the associations between mother and child emotion regulation abilities in middle childhood, and mothers’ childhood histories of aggression, parenting factors, child behaviour, and the longitudinal association of these early behaviours to adolescent health-risk behaviours. \nParticipants in Study 1 were mothers and their 9-12-year-old children (n = 82); participants in Study 2 (n = 59) were mothers and their 5-12-year-old children. Both samples were drawn from the Concordia Longitudinal Risk Project (Concordia Project): a prospective, longitudinal, intergenerational study of high-risk children from disadvantaged neighbourhoods that began in 1976-1978. Original participants were screened along dimensions of aggression, social withdrawal, and likeability in childhood, and were followed into parenthood. The Concordia Project provides a unique opportunity to study the intergenerational transfer of health and psychosocial risk during childhood, and to determine the processes and protective factors that predict positive outcomes for children within an ‘‘at-risk’’ population. \nA unique observational coding system was developed and used in both studies in the present dissertation. Emotion regulation behaviours in children and mothers were observationally coded second-by-second, using the Middle Childhood Emotion Regulation System. Observational codes loaded onto three broad dimensions: avoidance, approach, and self-comfort. Behaviour problems, parental support, parental stress, and adolescent risk behaviour were all measured through the use of reliable and well-validated questionnaire measures. Results revealed that certain child emotion regulation behaviours (e.g., self-comfort, approach) were related to maternal childhood histories of aggression. Moreover, results from both studies found links between child emotion regulation behaviors and parental variables. Finally, emotion regulation behaviours in middle childhood were associated with both concurrent behaviour problems and longitudinal risky behaviours, such as drug use. \nTogether, findings contribute to our understanding of how emotion regulation behaviours in children are intergenerationally, concurrently, and longitudinally associated. Results have implications for the design of preventative interventions for both individuals and families to target the development of adaptive emotion regulation behaviours.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.014
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.232
Teacher spread0.218 · 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 source (direct Gemma or distilled Codex), 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
Published2017
Admission routes1
Has abstractyes

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