Bibliographic record
Abstract
Modern English privacy law has diverged from that of other Commonwealth countries. This article responds to arguments that these countries should seek to align their privacy torts with English law. It catalogues five significant ways in which English privacy law has fashioned a robust right of action, and shows how the comparatively more restrained privacy torts emerging in Canada, New Zealand, and Australia have more in common with each other than they do with the “new methodology” adopted in England. These observations inform a normative question: should Commonwealth jurisdictions embrace English privacy jurisprudence? Harmonization is tempting because of a general underdevelopment of privacy torts in Commonwealth jurisdictions, which have not had the same opportunities to hone principles through decided cases that England has experienced. Yet, that disparity is itself revealing. We suggest that the English approach is a product of England’s legal and social climate, as the more restrained approaches of other Commonwealth jurisdictions are an expression of theirs. The developments in Britain’s former dominions nonetheless reflect a principled way to reconcile privacy and countervailing free expression interests in the context of those jurisdictions.
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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 | 0.007 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.008 | 0.039 |
| Scholarly communication | 0.011 | 0.010 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".