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Record W6925712826 · doi:10.18574/9780814788820

The Rule of Law: Nomos XXXVI

2021· article· en· W6925712826 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing Market and Economics
Canadian institutionsnot available
Fundersnot available
KeywordsRule of lawPoliticsIdeal (ethics)LiberalismRationalityClassical liberalismDemocracyMeaning (existential)

Abstract

fetched live from OpenAlex

From the sprawling remnants of the Soviet empire to the southern tip of Africa, attempts are underway to replace arbitrary political regimes with governments constrained by the rule of law. This ideal which subordinates the wills of individuals, social movements--and even, sometimes, democratically elected majorities--to the requirements of law, is here explored by leading legal and political thinkers. Part I of The Rule of Law examines the interplay of democracy and the rule of law, while Part II focusses on the centuries-old debate about the meaning of the rule of law itself. Part III takes up the constraints that rationality exercises on the rule of law. If the rule of law is desirable partly because it is rational, then departures from that rule might also be desirable in the event that they can be shown to be rational. Part IV concentrates on the limits of the rule of law, considering the tensions between liberalism and the rule of law which exist despite the fact that reasoned commitment to the rule of the law is preeminently a liberal commitment. Contributing to the volume are: Robert A. Burt (Yale University), Steven J. Burton (University of Iowa), William N. Eskridge, Jr. (Georgetown University), John Ferejohn (Stanford University), Richard Flathman (Johns Hopkins University), Gerald F. Gaus (University of Minnesota, Duluth), Jean Hampton (University of Arizona), Russell Hardin (University of Chicago), James Johnson (University of Rochester), Jack Knight (Washington University), Stephen Macedo (Harvard University), David Schmidtz (Yale University), Lawrence B. Solum (Loyola Marymount University), Michael Walzer (Princeton University), Catherine Valcke (University of Toronto), and Michael P. Zuckert (Carleton College)

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)0.001
metaresearch head score (Gemma)0.003
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 score0.019
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.007
Scholarly communication0.0080.004
Open science0.0010.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0190.004

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 head0.027
GPT teacher head0.202
Teacher spread0.175 · 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

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