Non-justiciability in Australian Private International Law: A Lack of 'Judicial Restraint'?
Bibliographic record
Abstract
The involvement of foreign states in domestic courts sits at the intersection between private and public international law. Whilst courts are becoming increasingly prepared to defer underlying notions of sovereignty and territoriality to protect private rights, they remain at times hesitant in adjudicating on matters concerning foreign states. The doctrine of non-justiciability affords protection to both foreign states and the forum executive in determining that courts will not adjudicate on the transactions of foreign states. This article examines the doctrine as adopted in the United Kingdom and applied in Australia, as well as the political question doctrine of the United States and the merits-based approach followed in Canada. The article argues that foreign states are no longer sacrosanct in Australian courts, and a correct understanding of executive certification and the Australian executive's prerogative in foreign affairs ameliorates the need for the doctrine.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".