Bibliographic record
Abstract
This article traces the history of relocation law in Canada and assesses the merits of law reform proposals on relocation in one Canadian province, British Columbia. These law reforms would introduce burdens of proof for relocation applications, marking a departure from the Canadian trend. Based on the key Supreme Court of Canada decision on relocation, Gordon v Goertz (1996), this trend has been to reject presumptions of any kind in custody decision-making. Relocation decisions have thus been left to the discretion of individual judges, using the indeterminate best interests of the child test. Burdens of proof have, however, been at play at earlier points in Canadian law. In addition, studies indicate that the rejection of presumptions in favour of a general best interests test has had mixed results at best. The article uses these studies to raise questions about calls in recent scholarly literature for a ‘neutral child-centric’ approach and considers the impact of a normative climate favouring shared parenting and maximum contact on interpretations of children’s best interests in the relocation context. The author recommends that greater attention be paid to the realities of a child’s life, including the care relationships surrounding the child.
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 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 | 0.009 | 0.029 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.031 | 0.023 |
| Scholarly communication | 0.016 | 0.006 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.007 | 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".