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Record W4414775782 · doi:10.1017/cjlj.2025.10044

Defending the Juridical

2025· article· en· W4414775782 on OpenAlexaff
Ernest J. Weinrib

Bibliographic record

VenueCanadian Journal of Law & Jurisprudence · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicLaw in Society and Culture
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAppealMoralityPrivate lawDistributive propertyNormativePhilosophy of lawOrder (exchange)State (computer science)Scope (computer science)

Abstract

fetched live from OpenAlex

Abstract Reciprocal Freedom: Private Law and Public Right is an account of how the law can coherently concretize ‘the juridical’, understood as the internal morality specific to legal relationships. The book elucidates the relationship between private law and the state, presenting the Kantian notion of reciprocal freedom as the normative idea implicit in a legal order in which private law occupies a distinctive place. Emphasizing that the juridical—as the morality specific to legal relationships—does not involve an appeal to morality at large, this article responds to critical comments about the correlative structure of corrective justice, the Kantian conception of ownership, and the book’s treatment of distributive justice and of the rule of law. It also outlines the jurisprudentially fundamental difference between the scope of a right and the operation of a right, which lies at the heart of Kant’s distinction between the state of nature and the civil condition.

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)0.021
metaresearch head score (Gemma)0.025
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: Other · Consensus signal: Other
Teacher disagreement score0.021
Threshold uncertainty score0.112

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.025
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0060.052
Scholarly communication0.0110.012
Open science0.0030.010
Research integrity0.0100.015
Insufficient payload (model declined to judge)0.0060.001

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 head0.018
GPT teacher head0.313
Teacher spread0.295 · 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
Published2025
Admission routes1
Has abstractyes

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