The Attorney Generalâs Obligation to Report Breaches of Rights in Proposed Legislation: How the Canadian and New Zealand Reporting Cultures Differ
Bibliographic record
Abstract
This paper examines the Attorney General’s obligation, in Canada and New Zealand, to report on inconsistencies in proposed legislation with the Canadian Charter of Rights and Freedoms and the New Zealand Bill of Rights Act 1990. Although the obligations are similar, the Canadian and New Zealand Attorneys General have developed very different reporting cultures. The Canadian Attorney General has never issued a report; the New Zealand Attorney General has issued many. This paper’s thesis is that the different reporting cultures are attributable to the different constitutional structure in each jurisdiction and different understandings of the independence of the Attorney General. Under this analysis, the usefulness of comparative analysis between the two jurisdictions is limited: constitutional differences cannot be ignored. The paper evaluates proposed changes to the reporting obligation in each jurisdiction in light of this analysis.
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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 | 0.042 | 0.123 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.019 | 0.028 |
| Scholarly communication | 0.018 | 0.008 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".