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Record W4386634404 · doi:10.3138/jcfs.54.2.020

Physical Custody Arrangements, Children’s Age, and Children’s Mental Health: A Comparison of Germany and Norway

2023· article· en· W4386634404 on OpenAlexvenueno aff
Lara Augustijn, Anja Steinbach, Tonje Holt, Maren Sand Helland, Linda Larsen

Bibliographic record

VenueJournal of Comparative Family Studies · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicFamily Dynamics and Relationships
Canadian institutionsnot available
Fundersnot available
KeywordsNorwegianMental healthPsychologyGermanAssociation (psychology)Physical healthPsychiatryGeography

Abstract

fetched live from OpenAlex

This study investigated potential differences in mental health among children living in sole physical custody (SPC), asymmetric joint physical custody (JPC), and symmetric JPC; and it tested whether children’s age moderated the association between physical custody arrangements and children’s mental health. Using data from the Family Models in Germany (FAMOD) and Norwegian Dynamics of Family Conflict (FAMC) studies, we estimated OLS regression models for children aged 2 to 14. In the German sample, children in asymmetric JPC had fewer mental health problems than children in SPC. However, this difference disappeared when controlling for various background variables, including the quality of parent-child relationships. Additionally, children’s age moderated the association between physical custody arrangements and children’s mental health problems, with increasing age being related to fewer mental health problems in asymmetric JPC. This association remained even after controlling for the background variables. In the Norwegian sample, no differences were found in children’s mental health across physical custody arrangements; nor did children’s age moderate the association. The results of this study emphasize that there may be cultural differences in how children’s mental health is related to their physical custody arrangements. Furthermore, there are modest indications that asymmetric JPC may be related to better mental health among older children in Germany.

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 score0.409
Threshold uncertainty score0.551

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.101
GPT teacher head0.426
Teacher spread0.325 · 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

Citations3
Published2023
Admission routes1
Has abstractyes

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