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Record W2307669279 · doi:10.14288/1.0089924

Policing beyond VAWIR policy : criminal harassment, pro-arrest and the practice of discretionary power

2009· article· en· W2307669279 on OpenAlexaboutno aff
Katrina E. Pacey

Bibliographic record

VenuecIRcle (University of British Columbia) · 2009
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicRegulation and Compliance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHarassmentPower (physics)CriminologyPolitical scienceCriminal justiceLawBusinessPsychology

Abstract

fetched live from OpenAlex

Relevant policy dictates that only particular interventions are to be employed when police are handling incidents involving violence against women in relationships. The objective of this study is to examine the way police officers describe their practice when investigating cases involving women victims who are criminally harassed by intimate or formerly intimate partners. This study inquires into the influence of this policy as well as the influence of other situational and organizational factors in the specific area of policing criminal harassment. In-depth interviews took place with 20 Vancouver police officers and qualitative analysis was employed. The data shows that the officers in this sample see themselves as highly discretionary in their practice and that their decision-making is influenced by the way in which they construct a number of situational and organizational factors. It was found that the vast majority of police in this sample constructed the victim, the crime of criminal harassment, and the criminal justice system in such a way so as to justify not following the protocols outlined in the Violence Against Women in Relationships Policy. Furthermore, it is argued that the attitudes which inform their discretionary practice can be seen as reflective of the attitudes embedded in police subculture as well as in dominant society. The implications of this research point to a need for further exposure and, perhaps, parameters around police practice so as to limit the negative effects of the patriarchal police subculture on women victims of violence.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.914
Threshold uncertainty score0.942

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.008
GPT teacher head0.207
Teacher spread0.199 · 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 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

Citations1
Published2009
Admission routes1
Has abstractyes

Explore more

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