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Record W1577480888

Precedent and the Individual Opinion: Judges Judging Judgments and the Creation of the Law Canon

2008· article· en· W1577480888 on OpenAlexaff
Elizabeth F. Judge

Bibliographic record

VenueSSRN Electronic Journal · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicFreedom of Expression and Defamation
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsLiteratureConstruct (python library)Order (exchange)CanonPhilosophyAestheticsLawSociologyHistoryArtPolitical science
DOInot available

Abstract

fetched live from OpenAlex

T.S. Eliot discusses the role of the author-critic in literary canon formation in his essay, “Tradition and the Individual Talent.” This article draws on Eliot to illuminate the role of the judge as author-critic in the creation of the law canon. The act of judicial opinion writing, as the article describes, is an act of canon formation, in which judges, having acquired a sense of the tradition, construct a precedential lineage for their individual opinion, and, with the issuance of the opinion, alter the existing order of precedent. The relationship between tradition and the individual talent that Eliot details also aptly describes the relationship between legal precedents and individual judgments. T.S. Eliot’s essay, “Tradition and the Individual Talent,” is a discourse on authorship and literary history, but it is also a discourse on canon formation, which is as instructive for literature as it is for law. The canon process that Eliot describes is of the poet’s relationship to past writings and the importance of the poet inculcating an historical sense of the past’s continuing presence. Eliot’s “poet” is both author and critic, simultaneously choosing the past literature that defines, and in turn, is defined by the poet’s contributions to literary history. While Eliot refers to the artist’s appreciation of the “whole of literature,” this literature is in fact a consciously selective tradition, comprising those works of art through which the writer of the “really new” creates a textual lineage, critiquing preceding authors as a necessary aspect of authoring.Canon theories have tended to focus on institutions, especially universities and publishers, as the site of canon construction or, where individual acts are emphasized, on the construction of the academic canon through the activities of teachers and literary critics. Similarly in law, theories of canon formation have also focused on the academic canon for pedagogical and scholarly purposes, sited at the university, and the individual acts of professors. Eliot, however, notably highlights how authors create canons by choosing their literary precedents through the labor of acquiring an historical sense of one’s predecessors as artistic influences. The author canon thus can be seen as the original canon from which other canons are later formed. This author-focused canon process aptly applies to law as well, this time with the judge serving as “poet,” which, as Eliot describes it, combines the roles of both author and critic. Judges select and shape precedential tradition in a process of interpreting and determining the meaning of previous cases, while trying to assert the meaning of the case under consideration for their successors. But this assertion can only be provisional because judges in subsequent opinions will evaluate and modify the interpretation of precedents and, as Eliot described of authors, shift the tradition again.

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)0.023
metaresearch head score (Gemma)0.095
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 score0.023
Threshold uncertainty score0.119

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.095
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0080.032
Scholarly communication0.0140.010
Open science0.0010.004
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0030.000

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 head0.020
GPT teacher head0.275
Teacher spread0.256 · 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
Published2008
Admission routes1
Has abstractyes

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