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Record W4282941607 · doi:10.1177/02654075221106997

Trajectories of coparenting quality across ethnically diverse and interethnic parents

2022· article· en· W4282941607 on OpenAlexaff
Hali Kil, Jean‐Michel Robichaud, Geneviève A. Mageau

Bibliographic record

VenueJournal of Social and Personal Relationships · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicFamily Dynamics and Relationships
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsCoparentingPsychologyEthnic groupDevelopmental psychologySociology

Abstract

fetched live from OpenAlex

The Interracial Couples’ Life Transitions (ICLT) model proposes that: i) interethnic parents experience more coparenting difficulties upon the birth of a child compared to same-ethnicity parents; and ii) there exists heterogeneity in interethnic parents’ coparenting quality, thus the coparenting experience cannot be generalized across all interethnic unions. In the present work, we examined these two propositions using a large-scale database of elevated risk, fragile families. In Study 1, we compared the longitudinal trajectories of coparenting in interethnic parents ( n = 574 mother-father unions) and their matched same-ethnicity counterparts ( n = 574 each mothers and fathers) and found that interethnic parents of Asian, Black, Hispanic, and White backgrounds consistently experienced lower and decreasing trajectories of coparenting compared to their counterparts across the first 9 years of a child’s life. In Study 2, we examined heterogeneity in coparenting trajectories for only interethnic mothers and fathers ( n = 1148) and found a three-trajectory profile in which the majority (75.5%) of parents fall into a contented (stable and high) coparenting profile. Our findings confirm and extend on the ICLT model, showing that most interethnic parents experience more coparenting difficulties across time compared to their counterparts, and although there is some heterogeneity in interethnic parents’ coparenting trajectories, most interethnic parents appear to experience stable and content coparenting across time.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
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 head0.176
GPT teacher head0.408
Teacher spread0.232 · 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.

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
Published2022
Admission routes1
Has abstractyes

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