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Record W3126045634 · doi:10.3138/utlj.60.2.425

REINVENTING THE NIGHT-WATCHMAN STATE?

2010· article· en· W3126045634 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueUniversity of Toronto Law Journal · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPolityArgument (complex analysis)State (computer science)Language changePolitical sciencePoliticsLawLaw and economicsCriminal lawSociology

Abstract

fetched live from OpenAlex

This article raises a principled objection to the privatization of certain core police services. Whereas most of the literature critical of privatizing security services has focused on the negative consequences of doing so (corruption, waste, etc.), the argument here focuses squarely on the standing of private parties to perform police services. According to an important strain of liberal political theory, certain tasks are assigned to the state not because it is deemed to be more efficient at delivering those services but simply because such services must be rendered by a party that acts in the name of the polity as a whole and not in the name of some narrower private interest. The author argues that all those policing functions – such as arrest, search, and detention – that require criminal law justification (because they involve conduct on the part of officers that is generally criminally prohibited) are of this nature. The article also summarizes the different dimensions of the larger privatization debate and traces the development of the debate about legitimate policing in the nineteenth and twentieth centuries.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
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
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.021
GPT teacher head0.287
Teacher spread0.267 · 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