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Record W2021135314 · doi:10.1163/15718182-02301005

A Qualitative Synthesis of Children’s Experiences of Shared Care Post Divorce

2015· article· en· W2021135314 on OpenAlexaff
Rachel Birnbaum, Michael Saini

Bibliographic record

VenueThe International Journal of Children s Rights · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicFamily Support in Illness
Canadian institutionsUniversity of TorontoThe King's UniversityWestern University
Fundersnot available
KeywordsQualitative researchShared careDevelopmental psychologyPsychologyInclusion (mineral)Flexibility (engineering)Qualitative analysisNursingSocial psychologyMedicineFamily medicinePrimary careSociology

Abstract

fetched live from OpenAlex

Objectives : Children’s views and experiences of shared care arrangements post separation were explored to provide their voices to the ongoing discussions of shared parenting. Methods : Qualitative synthesis included a systematic and transparent method for retrieval, screening, and analysing qualitative studies. The inclusion criteria accepted studies that were: qualitative in design; included children as participants in shared care parenting time post-separation. Results : Ten qualitative studies in six different countries with 466 children and young adults were included in the final analysis. Children’s experiences of shared care parenting post separation were mixed and varied depending on contextual factors related to their relationship with both parents, as well the quality of these relationships and the flexibility/rigidity of the parenting arrangement. Implications : Hearing from children and young adults directly helps to move the shared care debate away from binary arguments about sole versus shared care based on parents’ rights and advocacy views.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.064
Threshold uncertainty score0.684

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.000
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 head0.028
GPT teacher head0.346
Teacher spread0.318 · 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 designQualitative
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

Citations31
Published2015
Admission routes1
Has abstractyes

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