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Record W1999144114 · doi:10.7870/cjcmh-2002-0026

Custody and Access Issues with Children Whose Parents are Separated or Divorced

2002· article· en· W1999144114 on OpenAlexaffvenue
Sally Palmer

Bibliographic record

VenueCanadian Journal of Community Mental Health · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicFamily Dynamics and Relationships
Canadian institutionsMcMaster University
Fundersnot available
KeywordsPsychologyChild custodyDevelopmental psychologyCriminology

Abstract

fetched live from OpenAlex

This article discusses the effects of family breakdown--and the resulting issues of custody and access--on children. It explores trends in child custody and access and issues surrounding those trends, particularly in terms of the benefits and limitations of joint custody. It then identifies the contextual problems of family breakups (including the relative poverty experienced by mother-led families, the unreliability of financial support from fathers, the complications for children which result from step-parent figures, including serial partners of their parents, the implications of interparental conflict, the need to fully address suspicions and/or allegations of abuse by one parent against another, and the problem of Parental Alienation Syndrome). Typical responses of children to family breakup are then considered, including feelings of loss, guilt, and responsibility, and a sense of divided loyalties--particularly in light of intense or violent parental conflict. And finally, recommendations are made to minimize the detrimental effects of family breakup on children: (a) allowing children choice and flexibility, (b) exploring the benefits of mediation for families, (c) promoting parental co-operation, and (d) encouraging an ongoing relationship with the nonresidential parent.

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)0.001
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.014
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.003
Scholarly communication0.0020.002
Open science0.0000.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.105
GPT teacher head0.377
Teacher spread0.272 · 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 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

Citations8
Published2002
Admission routes2
Has abstractyes

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