Custody and Access Decision-Making and the Breastfeeding Child (Case Comment re Cavannah v. Johne)
Bibliographic record
Abstract
As an increasing number of fathers seek access to their very young children, how the court addresses the breastfeeding relationship between mother and child has become a critical factor in the best interests of the child analysis. This comment addresses how courts should deal with access to a breastfeeding child, using the recent Ontario Superior Court decision of Cavannah v. Johne as a starting point. The comment considers how the courts should approach the issue, addressing the challenges raised by both breastfeeding infants as well as toddlers who are engaged in extended breastfeeding. Ultimately, this comment argues that in order to protect the needs of the breastfeeding child and ensure some consistency in the law, the court might best address the issue via both judicial education and the inclusion of breastfeeding as an element in the best interests of the child test.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.008 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.021 | 0.010 |
| Insufficient payload (model declined to judge) | 0.004 | 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".