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Record W4411732146 · doi:10.1111/fcre.70001

“Parental alienation” cases: Experiences of Ontario legal and mental health professionals

2025· article· en· W4411732146 on OpenAlexaffabout
Rachel Birnbaum, Nicholas Bala

Bibliographic record

VenueFamily Court Review · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicFamily Dynamics and Relationships
Canadian institutionsQueen's UniversityThe King's University
Fundersnot available
KeywordsAlienationMental healthHealth professionalsPsychologyPsychiatryCriminologyPolitical scienceLawHealth care

Abstract

fetched live from OpenAlex

Abstract This paper reports on two related studies on the experiences of Ontario therapists, parenting evaluators, child protection service (CPS) staff, and lawyers for parents, children and CPS about parent–child contact problem cases involving claims of parental alienation. One qualitative study was based on interviews with 62 professionals (45 parents' lawyers and 17 therapists) involved in reported Ontario cases between 2010 and 2022 where the court made a finding of parental alienation. The second qualitative study was based on nine focus groups with 50 Ontario professionals (31 children's lawyers, four CPS lawyers, five CPS workers and 10 parenting evaluators) about their experiences with this type of high conflict separation case. The majority of professionals in both studies found that parents in these cases are often very challenging clients. The professionals shared their frustration that the family justice system is slow to respond and has few effective legal responses or clinical resources that can provide appropriate services for these cases. The studies highlight the complexity of these cases and the need for the family justice system to better provide coordinated legal and clinical responses for these families. There is a need for more evidence‐based collaborative interdisciplinary practice, research and professional education.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.561
Threshold uncertainty score0.984

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 integrity0.0000.000
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 head0.031
GPT teacher head0.372
Teacher spread0.341 · 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 designNot applicable
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

Citations1
Published2025
Admission routes2
Has abstractyes

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