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Record W2954808054 · doi:10.22215/etd/2018-13465

Shielded from Public View: An Analysis of the Media’s Construction of Deaths in Canadian Custody

2018· dissertation· en· W2954808054 on OpenAlexaboutno aff
Janine Kiefer

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicCrime, Deviance, and Social Control
Canadian institutionsnot available
Fundersnot available
KeywordsPrisonLegitimacyCriminologyNarrativeSociologyPolitical scienceLawArtPolitics

Abstract

fetched live from OpenAlex

This study explores how the deaths of four incarcerated individuals are constructed by Canadian news media outlets.For this research, I conducted a multiple case study concerning the deaths of Edward Snowshoe, Kinew James, Matthew Hines and Adam Kargus, all of whom died while incarcerated in a provincial or federal facility in Canada.Rooted in a cultural criminology framework and, utilizing Brown's (2009) concept of penal spectatorship and Butler's (2004) concept of grievable life, I explore how the media presents the deaths of these individuals in ways that may confer or restrict grievability and how these representations may undermine or reinforce the legitimacy of the prison.The findings of this research suggest that while these narratives may present certain criticisms of the prison, they ultimately rely on a framework, which reinforces the necessity of the prison and subjugates other forms of critical knowledge. Chapter One: Introducing the ResearchKinew James was a 35-year-old Indigenous woman who died while incarcerated at the Regional Psychiatric Centre, a federal prison, on January 23, 2013.The official cause of death was determined to be cardiac arrest from hyperglycemia caused by "poorly managed diabetes".Her death initially attracted attention in 2013 when her mother approached the media pronouncing her suspicion of the circumstances surrounding her daughter's death, which at the time, was said to be an apparent heart attack.Three years later, the Correctional Service of Canada's Board of Investigation report was made public.According to this report, staff had not managed James' physical health concerns appropriately and, upon finding James non-responsive on the night of her death, the nurse had taken too long to call a Code Blue indicating a medical emergency.A Coroner's Inquiry, originally scheduled for 2016, took place in April and May 2017.Following several days of testimony from various staff members, the jury concluded that Kinew James died of natural causes.However, they issued a number of recommendations including: recruiting more Indigenous staff members, adopting Indigenous restorative justice principles, training staff in "aboriginal social history" as well as several recommendations pertaining to the technical systems of the centre.Matthew Hines was a 33-year-old man from Cape Breton who died while incarcerated at Dorchester Penitentiary, a federal prison, on May 27, 2015.While the coroner's report has not yet been released, a pathologist determined that the cause of death appeared to be acute asphyxia due to extensive pulmonary edema following administration of pepper spray.In other words, Matthew Hines likely died from lack of oxygen caused by being pepper sprayed numerous times.Immediately following Hines' death, the Correctional Service of Canada published a news release stating that Hines had been found in need of medical attention and staff had performed

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)0.003
metaresearch head score (Gemma)0.014
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 score0.068
Threshold uncertainty score0.495

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.014
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0120.008
Science and technology studies0.0240.015
Scholarly communication0.0100.004
Open science0.0020.007
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.021
GPT teacher head0.317
Teacher spread0.295 · 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
Published2018
Admission routes1
Has abstractyes

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