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Record W4288384268 · doi:10.1037/fam0001015

Joint physical custody and academic achievement among youth: A population-based study with registry linkage.

2022· article· en· W4288384268 on OpenAlexaff
Sondre Aasen Nilsen, Kristin Gärtner Askeland, Tormod Bøe, Børge Sivertsen, Ove Heradstveit, Mari Hysing

Bibliographic record

VenueJournal of Family Psychology · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsOntario Centre of Excellence for Child and Youth Mental Health
Fundersnot available
KeywordsSiblingPsychologyNorwegianPsycINFOAcademic achievementPopulationDevelopmental psychologyFamily incomeEducational attainmentDemographyMEDLINE

Abstract

fetched live from OpenAlex

= 7,914), we examined the association between living arrangements and academic achievement among youth (16-19 years) using register-based information on grade point average (GPA; range: 1-6), parental education, and income. We also assessed the influence of family cohesion and coresiding biological and half/stepsiblings in explaining differences between youth in JPC and other living arrangements. Across all regression models, youth in JPC had significantly higher GPA (0.2-0.4 points) than youth living with a single mother or father. Parental education had a strong attenuating effect and reduced the magnitude of the difference with 30%-35% for youth in single-parent families and 55% for youth in stepparent families. In conclusion, we find that youth in JPC have a small but significant academic advantage compared to peers in single-parent families, which is not fully accounted for by objective measures of parental education and income, sibling composition, and family cohesion. Future longitudinal studies are needed to disentangle whether positive outcomes associated with JPC are due to inherent qualities of this living arrangement or better captured by preseparation selection mechanisms. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

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 score0.020
Threshold uncertainty score0.409

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 studies0.0010.000
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 head0.045
GPT teacher head0.353
Teacher spread0.309 · 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

Citations5
Published2022
Admission routes1
Has abstractyes

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