MétaCan
Menu
Back to cohort
Record W4291916490 · doi:10.1002/icd.2365

Children's connectedness and shared meanings strategies during play with siblings and friends

2022· article· en· W4291916490 on OpenAlexafffund
Jamie Leach, Nina Howe, Ganie DeHart

Bibliographic record

VenueInfant and Child Development · 2022
Typearticle
Languageen
FieldPsychology
TopicChild and Animal Learning Development
Canadian institutionsConcordia UniversityMount Saint Vincent University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsSocial connectednessPsychologyProsocial behaviorSiblingConversationDevelopmental psychologyLongitudinal studyNature versus nurtureSocial psychologyCommunication

Abstract

fetched live from OpenAlex

Abstract The present longitudinal study investigated children's shared meanings strategies used to initiate, sustain, and end connectedness during play with siblings and friends from early to middle childhood. Participants included 65 4‐year‐old focal children at time 1 (T1) and 46 7‐year‐old focal children at time 2 (T2) videotaped at home in separate semi‐structured free play sessions with an older or younger sibling and a same‐aged friend at both time points. Data were coded for (a) shared meanings strategies (e.g., introductions to play, description of actions) and (b) connectedness in communication (i.e., initiating, sustaining, and ending conversation). The two sets of codes were combined to create a new blended code (e.g., introduction‐initiate). Children used several strategies consistently to initiate, sustain, and end connectedness across play sessions, but in other cases employed strategies differentially. There were a few notable relationship differences; children engaged in more prosocial behavior and employed a play voice when initiating connectedness with their friend than sibling and more clarifications when sustaining connectedness with their sibling. The findings provide nuanced and novel insights into children's shared meanings strategies during play and connectedness in child‐child relationships across time.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.116
Threshold uncertainty score1.000

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 studies0.0010.000
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 head0.006
GPT teacher head0.218
Teacher spread0.212 · 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.

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

Citations8
Published2022
Admission routes2
Has abstractyes

Explore more

Same venueInfant and Child DevelopmentSame topicChild and Animal Learning DevelopmentFrench-language works237,207