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Record W2132959050 · doi:10.3138/rn84-2371-2482-mr06

Public Confidence in Criminal Justice in Canada: A Comparative and Contextual Analysis

2007· article· en· W2132959050 on OpenAlexaffvenueabout
Julian V. Roberts

Bibliographic record

VenueCanadian Journal of Criminology and Criminal Justice/La Revue canadienne de criminologie et de justice pénale · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsCriminal justicePrisonPublic opinionContext (archaeology)Economic JusticePolitical scienceCriminologyLawPublic administrationSociologyPoliticsGeography

Abstract

fetched live from OpenAlex

Public confidence in criminal justice has emerged as an important issue in most western nations. Several jurisdictions have made promoting public confidence a policy priority, and governments in many countries have recently conducted public opinion surveys to gauge levels of confidence in criminal justice. However, little is known about levels of public confidence in criminal justice in Canada. This article reviews the empirical research on this issue and attempts to explain current trends. Although a significant plurality of the public expresses little confidence in the justice system, more people are positive than are negative. In comparison to other countries, confidence levels in criminal justice are generally higher in Canada. This said, the public has less confidence in the justice system than in other public institutions such as the health care system. Consistent with findings elsewhere, the police attract most, and the prison system the least amount of public confidence. The article places these findings in context, and discusses their implications for research and policy.

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)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.317
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.001
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.002
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 head0.159
GPT teacher head0.344
Teacher spread0.185 · 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

Citations47
Published2007
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Journal of Criminology and Criminal Justice/La Revue canadienne de criminologie et de justice pénaleSame topicCriminal Justice and Corrections AnalysisFrench-language works237,207