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Record W2959236351 · doi:10.1002/icd.2068

Family members' strategies as allies during naturalistic polyadic family conflicts

2017· article· en· W2959236351 on OpenAlexafffund
Ryan J. Persram, Nina Howe, Jamie Leach

Bibliographic record

VenueInfant and Child Development · 2017
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsConcordia University
FundersSocial Sciences and Humanities Research Council of CanadaConcordia University
KeywordsPsychologyNaturalismControl (management)Naturalistic observationDevelopmental psychologySocial psychologyCognitionCoding (social sciences)Family conflictSociologySocial science

Abstract

fetched live from OpenAlex

Abstract This study investigated the strategies used by family members as allies during naturalistic polyadic family conflicts (i.e., involving at least three family members). Thirty‐nine families with two children (aged 4 and 6 years) were observed in the home setting. Employing transcripts of their interactions, emergent coding revealed five strategies used by allies: (a) social rule understanding, (b) control, (c) informational, (d) simple (e.g., dismissive), and (e) elaborate (e.g., proposals). Overall, both parents and children used control and informational strategies most often. Parents used each of the five strategies more often than both children, but control and informational strategies were predominant. Similarly, when older siblings assumed the ally role, they preferred control strategies, whereas younger siblings used informational strategies most frequently. The results emphasize the role of family members as allies during conflicts at home and are discussed in relation to parents' and children's cognitive awareness and learning of such strategies. Highlights This paper examines the strategies employed by family members as allies during naturalistic polyadic conflicts (i.e., involving three or more family members). Families were observed at home. Parents and children preferred control and informational strategies, suggesting a social learning component during conflicts. Children's involvement as allies highlights their awareness of alliances and the diverse array of strategies associated with this role.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.261
Threshold uncertainty score0.979

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 head0.021
GPT teacher head0.347
Teacher spread0.326 · 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

Citations2
Published2017
Admission routes2
Has abstractyes

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