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Record W7029704968

LGBTIQ2S+ Perceptions of Procedural Justice and Police Legitimacy

2021· dissertation· en· W7029704968 on OpenAlexaboutno aff

Bibliographic record

VenueThe Atrium (University of Guelph) · 2021
Typedissertation
Languageen
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsnot available
Fundersnot available
KeywordsProcedural justiceLegitimacyPerceptionIdentity (music)Criminal justice ethicsCriminal justicePolice science
DOInot available

Abstract

fetched live from OpenAlex

The relationship between LGBTIQ2S+ Canadians and the police has long been fraught with tension, and the role of policing in LGBTIQ2+ communities has been the subject of significant public debate and scrutiny. However, little research has been conducted on LGBTIQ2S+ Canadians’ perceptions of police legitimacy, the antecedents thereof, nor how these perceptions vary by identity within the community. This thesis seeks to address these gaps in the existing literature by asking: Is there a relationship between LGBTIQ2S+ Canadians’ perceptions of procedural justice and their perceptions of police legitimacy? How do perceptions of police legitimacy differ between identities within the Canadian LGBTIQ2S+ community? These research questions are addressed using survey responses from 338 LGBTIQ2S+-identifying individuals in Canada, analyzed using mixed-methods. The findings reveal that procedural justice is strongly associated with police legitimacy, and participants have notably low perceptions of both variables. Further, perceptions of police legitimacy vary by identity within the community.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.988
Threshold uncertainty score0.179

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0130.004
Scholarly communication0.0040.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.030
GPT teacher head0.320
Teacher spread0.290 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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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