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Record W3203712638 · doi:10.1111/sode.12527

Young children's differential use of power during family conflict: A longitudinal study

2021· article· en· W3203712638 on OpenAlexafffund
Sandra Della Porta, Ryan J. Persram, Nina Howe, Hildy S. Ross

Bibliographic record

VenueSocial Development · 2021
Typearticle
Languageen
FieldPsychology
TopicChild and Animal Learning Development
Canadian institutionsUniversity of WaterlooConcordia UniversityBrock University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPsychologyDevelopmental psychologyConflict resolutionContext (archaeology)Longitudinal studyPower (physics)Birth orderSocial psychologyCompromiseFamily conflictDemographySociologyMedicinePopulationGeography

Abstract

fetched live from OpenAlex

Abstract This study identified longitudinal and birth order differences in young children's use of power over a 2‐year period; the sample included 2‐ and 4‐year‐old (T1) and 4‐ and 6‐year‐old (T2) siblings (n = 39). Power was investigated via its use (i.e., actions) and effectiveness (i.e., successful actions) during naturally occurring polyadic family conflicts at home involving three or more family members (two children and at least one parent or two parents and at least one child). Observations were transcribed and sequences of polyadic family conflict (T1 n = 780; T2 n = 210) were identified and coded for power (coercive, reward, legitimate, simple, information) and conflict resolution (win‐lose, compromise, no resolution); win‐lose resolution was used as an indicator of power effectiveness, by isolating winning cases for the analyses. Differences in power use and effectiveness were revealed across both time points and birth order, namely between 4‐year‐old older siblings at T1 and 4‐year‐old younger siblings at T2. Results provide insight into young children's power behavior within the family context.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.032
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
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 science0.0000.001
Research integrity0.0010.001
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 head0.049
GPT teacher head0.302
Teacher spread0.252 · 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

Citations4
Published2021
Admission routes2
Has abstractyes

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