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Record W4226171999 · doi:10.22215/etd/2020-14870

Rates of Use of Force by Police Officers in Canada: A Move Toward Standardized Reporting

2020· dissertation· en· W4226171999 on OpenAlexaffabout
Thomas Walker

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsCarleton University
Fundersnot available
KeywordsUse of forceOfficerJurisdictionDeadly forceAgency (philosophy)Task forceIntervention (counseling)DemographicsCriminologyPolitical sciencePsychologyLawPublic administrationSociologySocial scienceDemography

Abstract

fetched live from OpenAlex

The use of force by police officers remains an unfortunate reality of policing. This study gathered data from a sample of Canadian police services in an effort to determine how often force is applied, what type of force is employed, and what impact this has (in terms of effectiveness and injury, both to the subject and the officer). Results indicated that across jurisdictions in Canada, police officers rarely use force. Moreover, the rates at which officers apply force are unrelated to organizational factors such as the size of the policing jurisdiction or the gender demographics of the individual agency. Collectively, the results of this study suggest that the use of force by police is very much the result of the circumstances in which individual officers find themselves at the time the force is applied.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.051
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.095
GPT teacher head0.402
Teacher spread0.307 · 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 routes2
Has abstractyes

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