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Record W3213042317 · doi:10.1177/00914509211058989

Young People Who Use Drugs Views Toward the Power and Authority of Police Officers

2021· article· en· W3213042317 on OpenAlexafffundabout
Alissa Greer, Marion Selfridge, Tara Marie Watson, Scott Macdonald, Bernie Pauly

Bibliographic record

VenueContemporary Drug Problems · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsCentre for Addiction and Mental HealthBritish Columbia Centre on Substance UseUniversity of VictoriaSimon Fraser University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsOfficerPaternalismDistrustPower (physics)Law enforcementCriminologyCriminal justicePossession (linguistics)Punitive damagesCriminalizationLawAccountabilityPolitical scienceSociology

Abstract

fetched live from OpenAlex

Many young people who use drugs are structurally vulnerable to policing powers given the ongoing criminalization of drug possession. Police authority limits and the expression of that authority may play a significant role in police encounters among young people who use drugs. This qualitative study explores the views of young people who use drugs toward police power and authority in their recent encounters with police officers. Interviews were conducted with 38 young people who recently used illegal drugs in British Columbia, Canada. We found five interrelated themes related to perceptions of police authority: (1) skepticism and distrust toward authority; (2) paternalism and authority over drug use; (3) officer use of force; (4) police as power-hungry; and (5) officers above the law. Participants described police authority as limitless, unpredictable, untethered, easily abused, and lacking accountability. Participants feared holding police officers accountable to power abuses in a criminal justice system that they saw as stacked against them. Moving forward, institutional reforms may consider and account for the expression, limits, and use of police authority among young people who use drugs and other structurally vulnerable communities.

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.168
Threshold uncertainty score0.334

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.005
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.086
GPT teacher head0.342
Teacher spread0.256 · 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 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

Citations27
Published2021
Admission routes3
Has abstractyes

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