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Record W3107210760 · doi:10.3138/utlj-2020-0085

Policing and public office

2020· article· en· W3107210760 on OpenAlexaffvenue
Malcolm Thorburn

Bibliographic record

VenueUniversity of Toronto Law Journal · 2020
Typearticle
Languageen
FieldNeuroscience
TopicFree Will and Agency
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsArgument (complex analysis)Order (exchange)Public officeLawPolitical scienceProperty (philosophy)Law and economicsPublic orderState (computer science)Ancien regimeSociologyBusinessPoliticsMathematics

Abstract

fetched live from OpenAlex

In this paper, I argue that policing can be defended as consistent with the equality of all before the law – but not by denying that policing occupies a special place in our legal order that is dangerously close to certain ancien régime privileges. In order to defend the special privileges of policing, it is essential to show that they are something quite different from the ancien régime privileges that they in some respects resemble. The crucial conceptual tool for making that argument is the idea of public office. Policing, I argue, is a public office and like other public offices, it comes equipped with a number of special rights, privileges, powers, and immunities that are not generally possessed by all persons in their private capacity. But that situation is no challenge to the equality of all persons before the law. Those special rights do not belong to the office-holder as their private property, to do with them just as they would like. They belong, instead, to the office itself, and they may be exercised only by someone duly appointed to the office (who may also be duly removed from office) and only in pursuit of the purposes that define her office. The idea of public office is what makes possible a necessary and acceptable kind of inequality – that between individual private persons on the one hand and the collective person of the state on the other – while maintaining the kind of equality that matters, which is the equality of all persons vis-à-vis one another.

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: Empirical
Teacher disagreement score0.923
Threshold uncertainty score0.999

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 studies0.0000.000
Scholarly communication0.0000.001
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 head0.032
GPT teacher head0.200
Teacher spread0.168 · 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

Citations4
Published2020
Admission routes2
Has abstractyes

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