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Record W2622668677

Renovating Independent Police Review

2017· article· en· W2622668677 on OpenAlexaffabout
Kent Roach, Lorne Sossin

Bibliographic record

VenueSSRN Electronic Journal · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsYork UniversityUniversity of Toronto
Fundersnot available
KeywordsAdjudicationAppealCorporate governanceCriminal justicePolice scienceEconomic JusticePolitical sciencePoliticsDisciplineLawCriminologyLaw reformSociologyBusiness
DOInot available

Abstract

fetched live from OpenAlex

This article assesses the major recommendations made in the Ontario’s Independent Police Oversight Review by Justice Tulloch of the Ontario Court of Appeal with an emphasis on how they fit into a broader system of police review, governance, and improvement. The first part will examine the role of criminal investigations of deaths and serious personal injuries caused by the police. The second will examine the role of independent complaints process and the third will examine the adjudication of complaints against the police that result in disciplinary charges. The concluding part will examine various ways to complete the independent review system including the role of coroners’ inquests, those who govern the police, a proposed Policing College that may move the police towards a regulated profession model and finally our main proposal to supplement the reforms recommended by Justice Tulloch: the creation of community advisory board(s) designed to build better relationships between those who review the police and the communities most affected by policing. This article examines the limits of formal law reform, especially reforms designed to attain the illusive quality of public confidence and examines the importance of politics, history and sociology.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.810
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.054
GPT teacher head0.416
Teacher spread0.362 · 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 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

Citations2
Published2017
Admission routes2
Has abstractyes

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