Three Objections to Forum of Necessity: Global Access to Justice, International Criminal Law, and Proper Party
Bibliographic record
Abstract
In civil procedure, the plaintiff is the one who initiates the litigation process. In which forum can he or she initiate this process? In very general terms, the Canadian rules of judicial jurisdiction provide the plaintiff with three options for jurisdiction acquisition. First, the jurisdiction can be acquired based on explicit agreement between the plaintiff and the defendant as to the identity of the forum to adjudicate the case. Second, the plaintiff can initiate the litigation in the forum that has the so-called “real and substantial connection” between it and the parties’ specific interaction under the given ground of liability (i.e., tort, contract, and so on). Finally, the jurisdiction can be acquired in the forum of the present location of the defendant.
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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 | 0.018 | 0.037 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.076 |
| Scholarly communication | 0.014 | 0.021 |
| Open science | 0.004 | 0.012 |
| Research integrity | 0.026 | 0.020 |
| Insufficient payload (model declined to judge) | 0.009 | 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".