MétaCan
Menu
Back to cohort
Record W3081936494 · doi:10.7202/1075519ar

Common Law Constitutionalism Through Methodology

2021· article· en· W3081936494 on OpenAlexvenueno aff
Se-shauna Wheatle

Bibliographic record

VenueMcGill Law Journal · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicJudicial and Constitutional Studies
Canadian institutionsnot available
Fundersnot available
KeywordsConstitutionalismCommon lawLawPolitical scienceCornerstoneLegal cultureComparative lawPublic lawLegislatureConstitutional lawLaw and economicsSociologyGeography

Abstract

fetched live from OpenAlex

This paper makes the case that methodology is a cornerstone of the advance of common law constitutionalism both within jurisdictions and transnationally. Common law methods, including interpretive presumptions and reasoning by unwritten principles, are central to an appreciation of the development of common law constitutionalism. Moreover, methodological practices present a more fruitful basis for lasting common law constitutionalism in several respects. Firstly, methods have the potential to survive legislative winds of change. Path dependence (in the sense that legal decisions and outcomes are shaped by the historical sequence of legal developments) points to the retention of techniques through embedded judicial practice. Secondly, methods also travel well across borders and thereby enable further development of the transnational dimension of common law constitutionalism. Common law methods are capable of adaptation across borders; they are less susceptible to barriers erected by claims of national or constitutional identity. Against this background, I argue that debates about the merits and impact of common law constitutionalism must contain and respond to accounts of the methods engaged in common law constitutionalist reasoning.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.061
metaresearch head score (Gemma)0.040
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.061
Threshold uncertainty score0.324

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0610.040
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0060.069
Scholarly communication0.0150.015
Open science0.0030.009
Research integrity0.0040.008
Insufficient payload (model declined to judge)0.0050.001

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 head0.165
GPT teacher head0.389
Teacher spread0.224 · 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 source (direct Gemma or distilled Codex), 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
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueMcGill Law JournalSame topicJudicial and Constitutional StudiesFrench-language works237,207