Bibliographic record
Abstract
The task of this report is to provide an assessment of the recently concluded Hague Convention on Choice of Court Agreements against the background of existing law on that subject in the common law provinces and the territories and also with respect to Canadian federal law. The report will offer a summary account of the Convention, a description of the ways in which it differs from existing law in common law Canada, some views on whether the scheme embodied in the Convention would represent an improvement on that existing law, and finally some recommendations as to whether the Convention should be adopted. With respect to this last matter it should be noted that (1) there is no other multilateral treaty on this subject under consideration, here or elsewhere, and (2) there are no other Canadian law reform projects under way that touch significantly on this area of the law. Accordingly, the choice to be made at this point would be whether to adopt the Convention (which would require implementing legislation at both the federal and provincial levels 2) or to do nothing and stick with the present regime, which is made up of judge-made standards supplemented by statutory rules of court and a smattering of other legislated provisions. If the former option – adoption of the Convention – were selected, then some additional decisions would need to be made with respect to six optional parts of the Convention. Section V of this report will offer specific analysis and recommendations with respect to those.
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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 | 0.017 | 0.038 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.014 | 0.020 |
| Scholarly communication | 0.025 | 0.006 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.010 | 0.011 |
| Insufficient payload (model declined to judge) | 0.007 | 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".