Three Strikes and the Interpretative Obligation: Parliamentary Intention and the Ascription of Meaning under the New Zealand Bill of Rights Act
Bibliographic record
Abstract
Section 6 of the New Zealand Bill of Rights Act 1990 requires a court to prefer a rights-consistent meaning wherever one can be given to an enactment that disproportionately limits the rights and freedoms it affirms. The prevailing approach of the New Zealand courts has treated the interpretative obligations as being constrained by the text and purpose of the impugned provision – a court is limited to meanings that can be ascertained from the text of the impugned statute and Parliament’s intention in passing it. This article argues that s 6 of the Bill of Rights Act requires the courts to ascribe a rights-consistent meaning to the impugned statutory provision – even if that meaning contradicts Parliamentary intention or legislative text – unless to do so would contradict an express and unambiguous legislative countermand, or would entirely defeat the policy objective of the impugned provision. The article develops an autochthonous “ascriptive approach” to s 6 of the Bill of Rights Act, supported by constitutional principle, its text, and the judicial methodology adopted in leading decisions. Two recent decisions of the of the Court of Appeal concerning the application of the so-called “three-strikes” sentencing regime – Fitzgerald v R and Barnes v R – are used as a point of departure and conclusion to illustrate the wrong turn taken by the courts and the promise of the ascriptive approach.
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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 | 0.008 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.038 |
| Scholarly communication | 0.012 | 0.009 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.007 | 0.012 |
| 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".