Parenting Coordination and Confidentiality: A (Not‐so) Delicate Balance
Bibliographic record
Abstract
This article describes the current state and range of information protection in the growing number of states and Canadian provinces that employ parenting coordination in an effort to reduce repeat custody litigation. The predominant approach—in which what is revealed during the process is not confidential—is analyzed in terms of its compatibility with the parenting coordinator's multiple tasks of educating parents, seeking to facilitate agreements, and, if necessary, providing the court with a report, a recommended decision, or an arbitrated result. Using a case scenario with multiple parts, the article then examines such confidentiality schemes in practice by providing an action‐oriented series of questions that illustrate how much of this topic must be resolved through a parenting coordinator's exercise of discretion in the absence of rule clarity. The article then raises a number of policy questions about whether current parenting coordination confidentiality norms strike the optimal or even the correct balance on information protection and concludes by identifying several policy options that might address these questions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.035 | 0.048 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.018 | 0.047 |
| Scholarly communication | 0.022 | 0.013 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.007 | 0.011 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".