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Record W3085937296 · doi:10.3138/utlj-2020-0040

Office-holding and officiality

2020· article· en· W3085937296 on OpenAlexvenueno aff
Nicole Roughan

Bibliographic record

VenueUniversity of Toronto Law Journal · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicLegal principles and applications
Canadian institutionsnot available
Fundersnot available
KeywordsPositivismLawJurisprudenceOrthodoxyPublic lawSociologyPolitical scienceSubject (documents)Philosophy of lawPrivate lawComparative lawPhilosophy

Abstract

fetched live from OpenAlex

Much of positivist jurisprudence and public law theory celebrates an idea of the ‘legal official’ as one appointed and identified by law to claim and wield law’s powers over subjects. That idea treats the official as the holder of an office constituted by law and so relies heavily upon law’s fabricated normativity and its insulation from social and moral normativity. This article challenges that view by drawing a distinction between ‘law’s offices’ and ‘officials of the law.’ More precisely, it distinguishes the status of office-holding under the law from the moral standing of ‘officiality’ carried by officials of the law and transmitted through practices of recognition of the role of official. The article challenges positivist orthodoxy to account for the moral standing that recognition carries into the role of official, alongside the institutional rules of office. In a response to John Gardner’s work on ‘officials of the law,’ which insists upon the morally laden role of official but avoids an over-moralized account of law’s normativity, I argue that recognition generates and carries moral normativity within and between the roles of official and subject in a way that inserts such recognition, and the role of official, into the story of law’s normativity.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.973
Threshold uncertainty score0.926

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.030
GPT teacher head0.258
Teacher spread0.227 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations1
Published2020
Admission routes1
Has abstractyes

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