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Record W2140076621 · doi:10.1111/1469-7610.00557

Children's Understanding of Marital Conflict and the Marital Relationship

2000· article· en· W2140076621 on OpenAlexaff
Jennifer M. Jenkins, J. M. Buccioni

Bibliographic record

VenueJournal of Child Psychology and Psychiatry · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicFamily Dynamics and Relationships
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPsychologyDevelopmental psychologyClinical psychologySocial psychology

Abstract

fetched live from OpenAlex

Children's understanding of marital conflict and the marital relationship was investigated in 60 children of 5, 7, and 9 years old. Age differences were hypothesized in four areas of children's understanding of marital conflict and the marital relationship, based on the development between 5 and 9 years of age of children's abilities to (a) analyse complex sequences of behavior in terms of the mental states of protagonists and (b) integrate multiple social roles. The four areas investigated were: conceptions of marital conflict, conflict resolution, family triangulation, and integration of the spousal and parental roles. Children were read stories involving family interactions. Open-ended questions were asked about their understanding of these interactions and a coding scheme was devised that reflected theoretical concepts. Nine-year-olds differed from 5-year-olds on all aspects of their understanding of marital conflict and the marital relationship, and 7-year-olds showed levels of understanding between 5- and 9-year-olds. Younger children were less likely than older children to explain marital conflict in terms of the divergent goals of each parent, to understand conflict resolution as dependent on one person changing their beliefs or goals, to understand that parents were simultaneously spouses and parents and to understand the nature of triangulation. Marital conflict is interpreted very differently by children of different ages.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.309
Threshold uncertainty score0.508

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.026
GPT teacher head0.303
Teacher spread0.278 · 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

Citations19
Published2000
Admission routes1
Has abstractyes

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