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Record W1988143571 · doi:10.1177/1049731512442985

A Qualitative Synthesis of Children’s Participation in Custody Disputes

2012· article· en· W1988143571 on OpenAlexaff
Rachel Birnbaum, Michael Saini

Bibliographic record

VenueResearch on Social Work Practice · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicChildren's Rights and Participation
Canadian institutionsUniversity of TorontoThe King's UniversityWestern University
Fundersnot available
KeywordsQualitative researchContext (archaeology)Inclusion (mineral)PsychologyChild custodyEthnographySocial workSocial psychologySociologyCriminologySocial sciencePolitical scienceLaw

Abstract

fetched live from OpenAlex

Objectives: This qualitative synthesis explores the voices of children in the context of child custody disputes over the last 20 years. The purpose was to (1) systematically retrieve qualitative studies to explore children’s views and preferences in the context of decision making postseparation and divorce and (2) explore how children’s voices are being heard or not. Method: Qualitative studies were identified through a systematic retrieval process using an inclusion and exclusion criteria. A meta-ethnographic approach was used for the qualitative synthesis of included studies. Results: Thirty-five qualitative studies were included in the final analysis, involving 1,325 children from 11 countries. Conclusions: Findings reveal that children generally want to be engaged in the decision-making process regarding custody and access, even if they are not making the final decisions. Implications for social work practice and policy are discussed, including providing space for children’s voices within the context of this work.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.044
metaresearch head score (Gemma)0.051
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.044
Threshold uncertainty score0.231

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0440.051
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0070.011
Science and technology studies0.0060.006
Scholarly communication0.0060.006
Open science0.0020.005
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.284
GPT teacher head0.584
Teacher spread0.300 · 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 source (direct Gemma or distilled Codex), 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

Citations55
Published2012
Admission routes1
Has abstractyes

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