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Record W4396715374 · doi:10.29173/mlj1292

The Devil’s Playground: A Case Study of Elgin-Middlesex Detention Centre (EMDC) Demonstrating the System Failings of the Ontario Corrections Regime

2022· article· en· W4396715374 on OpenAlexaboutno aff
Nichole Kelly

Bibliographic record

VenueManitoba Law Journal · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Law and Evidence
Canadian institutionsnot available
Fundersnot available
KeywordsPrisonAction (physics)DemocracyPrison reformPolitical sciencePlague (disease)CriminologyLawSociologyPublic administrationHistoryPolitics

Abstract

fetched live from OpenAlex

Despite numerous calls to action from news outlets, prison activists, and incarcerated individuals themselves, the Ontario corrections regime continues to operate in an unlawful and inhumane manner. The last decade has seen the publication of several prison reform recommendations that are yet to be meaningfully implemented. This paper spotlights four serious issues that plague Ontario correctional institutions through the lens of one of the worst: Elgin-Middlesex Detention Centre. Through its discussion of death in custody, drugs in custody, inhumane conditions, and understaffing, this paper seeks to highlight the profound gap between our democratic aspirations and the lived reality of working and living in Ontario jails. This case study urges us to finally take action and implement the roadmap for reform that has already been provided.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.401
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0130.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.038
GPT teacher head0.267
Teacher spread0.229 · 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
Published2022
Admission routes1
Has abstractyes

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