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Record W4250971673 · doi:10.1017/9781108674355

Judicial Review of Administrative Action Across the Common Law World

2021· book· en· W4250971673 on OpenAlexaboutno aff

Bibliographic record

VenueCambridge University Press eBooks · 2021
Typebook
Languageen
FieldSocial Sciences
TopicLegal principles and applications
Canadian institutionsnot available
Fundersnot available
KeywordsComparative lawPublic lawCommon lawCivil law (Civil law)Administrative lawLawPolitical scienceMunicipal lawPrivate lawCommercial lawContext (archaeology)Geography

Abstract

fetched live from OpenAlex

Research on comparative administrative law, in contrast to comparative constitutional law, remains largely underdeveloped. This book plugs that gap. It considers how a wide range of common law systems have received and adapted English common law to the needs of their own socio-political context. Readers will be given complex insights into a wide range of common law systems of administrative law, which they may not otherwise have access to given how difficult it would be to research all of the systems covered in the volume single-handedly. The book covers Scotland, Ireland, the USA, Canada, Israel, South Africa, Kenya, Malaysia, Singapore, Hong Kong SAR, India, Bangladesh, Australia and New Zealand. Comparative public lawyers will have a much greater range of common law models of administrative law - either to pursue conversations about their own common law system or to sophisticate their comparison of their system (civil law or otherwise) with common law systems.

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)0.008
metaresearch head score (Gemma)0.023
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.032
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.023
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0060.006
Scholarly communication0.0090.003
Open science0.0010.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.103
GPT teacher head0.357
Teacher spread0.255 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations3
Published2021
Admission routes1
Has abstractyes

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