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Record W2105318788 · doi:10.1093/jpepsy/jsr022

Coparenting in Relation to Children’s Psychosocial and Diabetes-Specific Adjustment

2011· article· en· W2105318788 on OpenAlexafffund
Mor Barzel, Graham J. Reid

Bibliographic record

VenueJournal of Pediatric Psychology · 2011
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Research
Canadian institutionsChildren’s Health Research InstituteWestern University
FundersChildren's Health FoundationChildren's Health Research Institute
KeywordsCoparentingPsychosocialPsychologyClinical psychologyDevelopmental psychologyDiabetes mellitusQuality of life (healthcare)Type 1 diabetesMedicinePsychiatryEndocrinologyPsychotherapist

Abstract

fetched live from OpenAlex

OBJECTIVE: To explore the potential utility of a general and diabetes-specific measure of coparenting by evaluating linkages between coparenting and both the psychosocial and medical adjustment of children with type 1 diabetes (TID). METHOD: Mothers and fathers of children (ages 8-12 years; n=61) with TID completed questionnaires including measures of general and diabetes-specific coparenting, and children's internalizing and externalizing problems. Medical adjustment included parent-reported diabetes management behaviors, children's self-reported diabetes quality of life (QOL), and metabolic control (HbA1c) assessed during clinic appointments. RESULTS: Coparenting conflict around general child rearing tasks was significantly related to children's internalizing and externalizing problems. Diabetes-specific coparenting conflict was linked to poorer diabetes management behaviors and children's reports of poorer diabetes-specific quality of life, but not HbA1c. CONCLUSIONS: Significant findings offer preliminary support for the inclusion of coparenting assessments among children with TID and warrant further exploration.

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 score0.039
Threshold uncertainty score0.316

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
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 head0.046
GPT teacher head0.331
Teacher spread0.284 · 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

Citations20
Published2011
Admission routes2
Has abstractyes

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