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Record W3193294758 · doi:10.36939/ir.202012141250

An Examination of Police Culture and its Effects on Patrol Officers Attitudes towards Restorative Justice

2020· dissertation· en· W3193294758 on OpenAlexaff
Braeden Broschuk

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsUniversity of Winnipeg
Fundersnot available
KeywordsRestorative justiceOfficerPsychologyLikert scaleCriminologyCriminal justiceEconomic JusticeOrganizational cultureProcedural justiceInteractional justiceWork (physics)TeamworkSocial psychologyPublic relationsPolitical scienceOrganizational justiceEngineeringOrganizational commitmentLaw

Abstract

fetched live from OpenAlex

The purpose of this research is to examine the relationship between restorative justice and police culture, and the level to which this culture acts as barrier to the successful implementation and use of restorative justice by frontline police officers. Using a multi-level work group framework, frontline officer’s attitudes and understanding of restorative justice and police culture beliefs are examined, and then their impact on frontline police work is assessed. This study employs an explanatory sequential mixed methods design and is conducted in two phases. The initial quantitative phase involved distributing a Likert-style survey to frontline officers to measure their attitudes and understanding of restorative justice and police culture variables. After analysis of the initial quantitative findings, semi-structured interview questions were developed building on these findings to provide for a more in-depth qualitative analysis. Results indicate that police culture variables such as solidarity, teamwork, crime fighting and tough on crime attitudes are still persistent in policing, but frontline officers are generally accepting of restorative justice, and believe that it has a place in their frontline work as a dispositional tool. Findings indicate, however, that officers perceive restorative justice as another option only for less serious crimes and low risk offenders, and not as a new method of managing offender activity. Restorative justice is not being used to its fullest potential. To increase use of RJ diversion more thorough training, specialist designations and supervisory and middle management direction is recommended.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.524
Threshold uncertainty score0.984

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.045
GPT teacher head0.413
Teacher spread0.369 · 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 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

Citations0
Published2020
Admission routes1
Has abstractyes

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