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Record W3005822310 · doi:10.3138/utlj.2019-0064

Civil order, criminal justice, and ‘no justice no peace’

2020· article· en· W3005822310 on OpenAlexvenueno aff
Darryl K. Brown

Bibliographic record

VenueUniversity of Toronto Law Journal · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceLegitimacyLawPoliticsEconomic JusticeState (computer science)Civil societyDutySanctionsPower (physics)Order (exchange)SociologyCriminal justiceLaw and economicsCriminologyEconomics

Abstract

fetched live from OpenAlex

Two kinds of recurring events – police violence and political protests – highlight some of the tensions between criminal justice administration and the idea of civil peace. Maintaining civil order is both a duty of the state and a justifying basis for state power, including criminal law power. But civil order is understood to have a normative dimension. Peace is more than merely the absence of disorder; it is order on just terms, achieved by legitimate means. That sets the stage for the paradox of the state using its order-preserving power to breach the civil order, notably through unlawful uses of force by police. Public responses to state-triggered disorder lead to a second paradox: citizens sometimes use tactical breaches of the peace as a means to call the state to account for its acts of disorder; they use unrest to restore peace. This tactic is explicit in the collective demand ‘no justice no peace’ employed throughout English-speaking democracies, a demand that often calls for greater use of criminal sanctions to repair the civil order. Beyond these two examples, this article assesses the particular difficulties of sustaining a just civil peace in ethically pluralist societies, where the constitutive values on which the legitimacy of civil order depends can be especially hotly contested. Western democracies aspire to be ethically pluralist, but strains of illiberal populism, such as those apparent now in many of those democracies, make it even harder to reach a sustainable settlement on the terms for a practice and process of just civil peace.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.888
Threshold uncertainty score1.000

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 studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.021
GPT teacher head0.258
Teacher spread0.237 · 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.

Study designQualitative
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

Citations7
Published2020
Admission routes1
Has abstractyes

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