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Record W4390059466 · doi:10.1002/icd.2480

The bidirectional relationship between emotion regulation and social communication in childhood: A systematic review

2023· review· en· W4390059466 on OpenAlexafffund
Sarah Raza, Lori‐Ann R. Sacrey, Lonnie Zwaigenbaum

Bibliographic record

VenueInfant and Child Development · 2023
Typereview
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsGlenrose Rehabilitation HospitalUniversity of Alberta
FundersKids Brain Health NetworkAzrieli FoundationCanadian Institutes of Health ResearchWomen and Children's Health Research InstituteFondation Brain Canada
KeywordsPsychologySocial communicationFoundation (evidence)Developmental psychologySocial information processingSocial competenceSocial changeSocial relationshipSocial relationSocial psychologyCognitive psychologyCognition

Abstract

fetched live from OpenAlex

Abstract Emotion regulation (ER) refers to the ability to regulate emotional reactions in response to stimuli. Social communication involves the knowledge and skills to engage in social interactions. Both processes develop in the first years of life and form the foundation for later functioning. Literature suggests a bidirectional relationship between ER and social communication; however, the majority of research examines these constructs independently. This review provides an in‐depth examination of research that has measured the relations between ER and social communication in children from 2 years of age and onwards. Findings revealed an age‐related pattern, where ER was related to later social communication and vice versa. However, there was no consensus regarding direct relationship(s) between ER and social communication due to heterogeneity among studies when defining and measuring these constructs. This review illustrates the importance of understanding the pathways between ER and social communication and may inform future studies, both in typical and atypical development.

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: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.403
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.068
GPT teacher head0.340
Teacher spread0.272 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations5
Published2023
Admission routes2
Has abstractyes

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