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Record W7006534653

Unpacking Risk? Section 810 Peace Bonds in Prince Albert

2024· dissertation· en· W7006534653 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity Library (University of Saskatchewan) · 2024
Typedissertation
Languageen
FieldEngineering
TopicMarine Biology and Environmental Chemistry
Canadian institutionsnot available
FundersChina Scholarship Council
KeywordsOfficerEnforcementLaw enforcementIndigenousService (business)BondEthnographyWork (physics)
DOInot available

Abstract

fetched live from OpenAlex

Section 810 peace bonds have come to supplant other forms of community supervision (i.e. parole) for high-risk offenders in Canada. Although peace bonds are central to the lived experience of offenders in Canada; very few studies have taken them up within the literature. Based on a review of the literature, peace bonds function towards multiple and conflicting ends. Specifically, they are held to simultaneously facilitate the reintegration of the subject and manage the risk they pose to the community and its residents. Within this study, the assumptions of the literature and community concerns are tested against local policing data, demonstrating where risk, reintegration, and harm find expression in the work of police officers. \n\nThis study examines 10 years of police records related to the administration and enforcement of peace bonds in Prince Albert, Saskatchewan. The city of Prince Albert is a small western prairie city with a large Indigenous population. Data was collected through access to information requests to the local police service and contains officer notes related to the enforcement and surveillance of peace bonds and documents used in the court process. A discourse analysis of these documents was conducted through institutional ethnography to better understand how these texts enter into the work of local officers. Specifically, this project asks: i) how do rules and policy shape officer work related to peace bonds? ii) what values are embedded within these policies and how do they shape the work of officers? and iii) how do these values shape the officer/subject dynamic around risk management, reintegration, and harm? \n\nThis project demonstrates the emphasis on risk management within peace bond police, resulting in conditional breaches and many returns to corrections. Further, the risk-centred nature of the current peace bond process serves to reduce focus on reintegration and the mitigation of harm. In the 10 years of data (2009-2019), only one (n=12) offender was able to work their way off of their bond and “graduate” from their conditions. Ultimately, this study demonstrates the need for further research that directly draws on the lived experience of police officers and peace bond subjects.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.441
Threshold uncertainty score1.000

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 integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.002
GPT teacher head0.140
Teacher spread0.138 · 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.

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
Published2024
Admission routes1
Has abstractyes

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