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Record W4231631484 · doi:10.32920/ryerson.14648853

"I realized that cops are just regular people" :changing youth attitudes toward the police through community policing programming.

2021· preprint· en· W4231631484 on OpenAlexaff
Elisabeth J. Leroux

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsToronto Metropolitan UniversityUniversity of Ottawa
Fundersnot available
KeywordsLaw enforcementCommunity policingRemedial educationIntervention (counseling)PsychologyPerceptionSurvey data collectionSocial psychologyCriminologyPolitical scienceLawPsychiatry

Abstract

fetched live from OpenAlex

Existing literature examining youth-police relations has consistently found that willingness to engage with the police is directly influenced by youth attitudes toward the police. Research findings suggest that increasing positive attitudes toward the police among adolescent populations will result in a subsequent increase in behaviours supportive of the police and law enforcement. The current study was a mixed-method evaluation (including survey data and qualitative interviews) of a community policing pilot program designed to increase positive contact between at-risk youth and police officers. The program was effective in positively changing youth attitudes toward the police. Interview results provide evidence of a direct mechanism for increasing trust and cooperation with the police. Survey results indicate that positive contact with the police can shift general attitudes toward the police and reduce perceptions of police discrimination. Further, survey findings support the program as a remedial intervention for youth with previous negative police contact.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.137
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0050.001
Scholarly communication0.0020.001
Open science0.0020.002
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 head0.265
GPT teacher head0.430
Teacher spread0.164 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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