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Record W2318172477 · doi:10.1515/zfrs-2007-0205

Conducting Law Reform Research: A Comparative Perspective

2007· article· en· W2318172477 on OpenAlexaboutno aff
Angela Melville

Bibliographic record

VenueZeitschrift für Rechtssoziologie · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Education and Practice Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsLaw reformCommissionLawPolitical scienceLegal researchEconomic JusticePublic lawComparative lawLegal professionSociology

Abstract

fetched live from OpenAlex

Abstract Law Reform Commissions are permanent bodies which operate in common law countries, and are charged with the task of recommending law reform. The Commissions conduct research into the need for law reform, and it appears this research is guided by a common set of broad principles. A comparison of the ways in which the New Zealand Law Commission and the recently defunct Law Commission of Canada put these principles into practice reveals that different Commissions use different approaches when putting these principles into practice. These different approaches reflect the ways in which the role of law within society and the role of the Law Commissions in shaping the law are conceived. For some Commissions, legal reform is a technical process driven by a desire for increased efficiency and effectiveness. For other Commissions, legal reform is seen as directing, rather than merely reflecting, social and legal norms, and is self-consciously aimed towards achieving the goals of social justice.

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)0.234
metaresearch head score (Gemma)0.189
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.234
Threshold uncertainty score0.944

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.2340.189
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0170.023
Science and technology studies0.0150.050
Scholarly communication0.0360.030
Open science0.0050.013
Research integrity0.0130.007
Insufficient payload (model declined to judge)0.0120.001

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 head0.685
GPT teacher head0.608
Teacher spread0.077 · 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.

Study designNot applicable
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

Citations5
Published2007
Admission routes1
Has abstractyes

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