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Record W2102945423 · doi:10.15353/cgjsc.v3i1.3763

Police Interactions with the Mentally Ill: The Role of Procedural Justice

2014· article· en· W2102945423 on OpenAlexaffvenue
Farzana B. Kara

Bibliographic record

VenueCanadian Graduate Journal of Sociology and Criminology · 2014
Typearticle
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsProcedural justiceDispositionMentally illLegitimacyMental illnessPsychologyIntervention (counseling)CriminologyUse of forceAffect (linguistics)Mental healthCriminal justicePsychiatryPolitical scienceSocial psychologyLawPoliticsPerception

Abstract

fetched live from OpenAlex

Police encounters with mentally ill individuals that involve the use of force by police are relatively infrequent, but sometimes quite volatile. Deinstitutionalization of the mentally ill, poorly funded and fragmented community treatment alternatives, plus increasingly restrictive civil commitment criteria have led to increased contacts with the police. Police need to exercise restraint when using force against individuals suffering from a mental disorder. There is a clear need for specialized crisis intervention police training for dealing with the mentally ill. Procedural justice theory offers a promising approach to improving police-citizen interactions. According to this framework, the fairness with which an individual is treated during an encounter by an authority figure, such as the police, can affect the perceived legitimacy of these interactions and any disposition that flows from them. This is particularly important regarding interactions between the police and those suffering from a mental disorder.

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 score0.317
Threshold uncertainty score0.998

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 studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.055
GPT teacher head0.305
Teacher spread0.250 · 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

Citations2
Published2014
Admission routes2
Has abstractyes

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