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Record W4415294367 · doi:10.1093/slr/hmaf032

Helpful or hollow? Rethinking the interpretive role of Interpretation Acts

2025· article· en· W4415294367 on OpenAlexaboutno aff
Paulina Konca

Bibliographic record

VenueStatute Law Review · 2025
Typearticle
Languageen
FieldHealth Professions
TopicInterpreting and Communication in Healthcare
Canadian institutionsnot available
FundersNarodowym Centrum Nauki
KeywordsInterpretation (philosophy)NormativeCoherence (philosophical gambling strategy)Statutory interpretationTransparency (behavior)ScrutinyFocus (optics)

Abstract

fetched live from OpenAlex

Abstract In the era of increasingly complex legislation, the issue of statutory interpretation is gaining prominence, raising important questions about the role and effectiveness of normative acts that seek to regulate interpretive practices. This article analyses the content of Interpretation Acts currently in force in selected common law jurisdictions—including Australia, Canada, New Zealand, Ireland, and the UK—with a focus on provisions that explicitly address interpretive issues. This article is divided into three parts. The first offers a general overview of interpretive provisions in Interpretation Acts, highlighting both their common regulatory areas and notable absences. The second examines substantive choices made within these Acts in response to key interpretive debates, with emphasis on the selected approach and use of extrinsic aids. The third section focuses on ambulatory provisions, a topic of growing significance in recent interpretive discourse. In this context, the article highlights Irish provisions, largely overlooked in discussions about interpretation in changing circumstances. The aim of the study is to assess the extent to which Interpretation Acts may influence interpretive practice. This article encourages further debate on the potential of these Acts to promote interpretive coherence and enhance the transparency of the interpretive process.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.931
Threshold uncertainty score0.510

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.056
GPT teacher head0.471
Teacher spread0.415 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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