With Great Advantage Should Come Responsibility: How the Territorialist Approach in Private International Law Maybe Overcome to Ensure Justice is Done for those Left in the Wake of Canadian Business Abroad
Bibliographic record
Abstract
Conflict of laws rules in Canada bias toward taking jurisdiction over matters involving human rights or environmental abuse inflicted abroad, particularly when inflicted by Canadian corporations. Contrary to enumerated tests for jurisdiction, many Canadian courts have instead preferred a regressive state-centric/hyper-comity anchor in applying such tests to putative foreign plaintiffs. This Thesis argues this preference can be effectively understood using the lens and language of Pierre Bourdieus field theory as representing a habitus of the Canadian judiciary. In light of the habitus of the Canadian judicial field, and in order to encourage an interpretation of conflict of laws rules in Canada that prefers an uptake of such claims, practitioners ought to introduce issues of jurisdiction to Canadian courts framed with respect to fairness, notably whether it is fair to provide Canadian corporations significant benefit when operating abroad and, through failure to take jurisdiction, allow such corporations to avoid civil prosecution.
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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.029 | 0.040 |
| Scholarly communication | 0.017 | 0.007 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 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".