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Record W3019226804

A call to modernize police accountability: an evaluation of the law’s response to excess use of force by police in British Columbia

2020· dissertation· en· W3019226804 on OpenAlexaboutno aff
Celia Pinette

Bibliographic record

VenueUVic’s Research and Learning Repository (University of Victoria) · 2020
Typedissertation
Languageen
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsnot available
Fundersnot available
KeywordsAccountabilityUse of forceLawPolitical scienceCriminologySociologyInternational law
DOInot available

Abstract

fetched live from OpenAlex

When a police officer exercises their statutory authority to use force against a member of society, and that force results in death, the public must have confidence that the police acted legitimately. The inquiry this thesis facilitates examines current police oversight law that purports to hold police accountable in circumstances of police-involved death in British Columbia. The research is motivated by two assertions: 1. The government’s response to reform the investigatory and legal processes for the determination of allegations of police-involved death is inadequate; the resulting police oversight regime is too complex, and fails to act in the public interest. 2. Oversight and law enforcement agencies limit access to the information required for families and the public to understand the circumstances of, and to fairly assess, alleged police-involved death. While this research does not anticipate a singular resolution to the complex and longstanding questions of police accountability in BC, it draws attention to an unresolved history of police un-accountability as a matter of public interest. Due to the complex nature of the legal framework, this research does not identify an exhaustive list of issues within policing law.

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)0.011
metaresearch head score (Gemma)0.030
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 score0.137
Threshold uncertainty score0.993

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.030
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0310.014
Scholarly communication0.0120.003
Open science0.0030.005
Research integrity0.0020.007
Insufficient payload (model declined to judge)0.0040.000

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 head0.082
GPT teacher head0.381
Teacher spread0.299 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueUVic’s Research and Learning Repository (University of Victoria)Same topicPolicing Practices and PerceptionsFrench-language works237,207