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7 Conclusions

2007· book· en· W4235533457 on OpenAlexaboutno aff
Goldsworthy Jeffrey

Bibliographic record

VenueOxford University Press eBooks · 2007
Typebook
Languageen
FieldSocial Sciences
TopicJudicial and Constitutional Studies
Canadian institutionsnot available
Fundersnot available
KeywordsLegalism (Western philosophy)LawJudicial discretionDiscretionPolitical scienceRule of lawIdeologyDemocracyLegal formalismSociologyPublic lawJudicial reviewPoliticsBlack letter lawPrivate law

Abstract

fetched live from OpenAlex

This book has identified substantial differences between the philosophies of the courts of Australia, Canada, Germany, India, South Africa, and the United States with respect to interpretations of their constitutions. The differences can be characterised mainly in terms of the stronger attraction of some courts to legalism. Legalism in constitutional law has been associated with various tendencies, including literalism, formalism, positivism, and originalism. Legalism is used in a purely descriptive sense, not to applaud or to denigrate, but merely to denote interpretive philosophies motivated by two main concerns. One is disapproval of judicial discretion — of decision-making based on judges' values and ideologies rather than objective legal norms. The other is disapproval of judicial law-making — of decision-making that changes law instead of merely applying it. Legalists disapprove of judicial discretion and law-making for various reasons, including equity among litigants, predictability, democracy and the rule of law.

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)0.003
metaresearch head score (Gemma)0.010
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.236
Threshold uncertainty score0.790

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0030.002
Scholarly communication0.0080.005
Open science0.0020.004
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.2360.079

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 head0.037
GPT teacher head0.260
Teacher spread0.223 · 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
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

Citations0
Published2007
Admission routes1
Has abstractyes

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