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Record W4407008016 · doi:10.1080/28375300.2025.2458352

Collaborating to Reduce Parental Conflict: A Qualitative Study About the Experiences of Parenting Coordinators

2025· article· en· W4407008016 on OpenAlexaff
Michael Saini

Bibliographic record

VenueFamily Transitions · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicFamily Dynamics and Relationships
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPsychologyQualitative researchDevelopmental psychologySocial psychologySociologySocial science

Abstract

fetched live from OpenAlex

This qualitative study aimed to explore the factors in parenting coordination that helped or hindered the successful resolution of family conflict post-separation and divorce. The role of the parenting coordinator (PC) is a hybrid role that combines psychology, conflict resolution, and arbitration to help parents who remain in high conflict despite the passage of time. Using the enhanced critical incident technique (ECIT), eight British Columbia Parenting Coordinator Roster Society (BCPCRS) PCs were interviewed. Participants were asked about helping and hindering factors in resolving conflict and the supports or programs they would have found helpful in their role as PCs. . The results covered a wide range of aspects of parenting coordination including PCs process for resolving conflict and the context and dynamics in which PCs conduct their work. . Areas of complexity in parenting coordination and areas of further growth for this role were identified and discussed.

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)0.020
metaresearch head score (Gemma)0.033
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 score0.020
Threshold uncertainty score0.106

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.033
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0140.010
Scholarly communication0.0050.004
Open science0.0030.006
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.051
GPT teacher head0.397
Teacher spread0.346 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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