Experience with Ontario’s <i>Parenting Plan Guide</i> and <i>Template</i>
Bibliographic record
Abstract
Abstract Detailed, voluntary parenting plans are being increasing used in many jurisdictions. In conjunction with legislative reforms that came into effect in Canada in 2021 and specifically provide for parenting plans in place of traditional custody and access orders, the Ontario Chapter of the Association of Family and Conciliation Courts (AFCC-O) tasked a multidisciplinary group to prepare materials to assist professionals and parents in making parenting plans, including providing developmentally appropriate advice about parenting time schedules. This research project involved surveys and interviews with a total of 103 participants (lawyers, judges, mediators, mental health professionals, and parents) about their experiences with parenting plans and the AFCC-O materials. The use of parenting plans has increased as a result of the legislative changes, new resources to assist in making plans, and the accompanying professional education programmes. Professionals and parents appreciate having access to the type of jurisdictionally specific resource materials prepared by multidisciplinary groups, and judges have made significant use of these materials. The materials are especially useful for parents who have access to appropriate professional support and who have good literacy skills, and for lower conflict cases. It is, however, clear that the parenting plan materials have limitations, and in particular these resources have limited utility for self-represented litigants and cannot help in resolving higher conflict cases and those cases where family violence exists.
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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 | 0.007 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".