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Record W3110991020 · doi:10.5204/ijcjsd.1709

“Here I Sit in this Dismal Crypt”: Insider Interpretations of the Canadian Carceral Necropolis

2020· article· en· W3110991020 on OpenAlexaffabout
Jen Rinaldi, Olga Marques

Bibliographic record

VenueInternational Journal for Crime Justice and Social Democracy · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsOntario Tech University
FundersAustralian Government
KeywordsInsiderAfterlifeHuman immunodeficiency virus (HIV)Mass incarcerationCriminologyDead bodyColonialismPrisonSociologyAction (physics)PsychologyHistoryLawArtPolitical scienceMedicineLiteratureVirologyArchaeology

Abstract

fetched live from OpenAlex

This paper draws from the art produced in the Cell Count archive, a quarterly bulletin that the Prisoners’ Human Immunodeficiency Virus (HIV)/Acquired Immunodeficiency Syndrome (AIDS) Support Action Network distributes to persons incarcerated in Canadian prisons. The authors use necropolitical theory to undertake a content analysis of prisoner art to gain insights into how carceral life affects the incarcerated. Specifically, prisoners convey prisons as death-worlds. The mass incarceration practices, which are a mechanism of settler colonialism and white supremacy, strip populations down to bare life. First, prisoners depict their carceral experience as a kind of slow, protracted process of dying. Second, they describe themselves using imagery of the dead. Third, they explore notions of escape or release through an angelic or spiritual afterlife.

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)0.006
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: none
Teacher disagreement score0.082
Threshold uncertainty score0.464

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0420.061
Scholarly communication0.0140.005
Open science0.0020.004
Research integrity0.0020.003
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 head0.040
GPT teacher head0.355
Teacher spread0.315 · 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

Citations3
Published2020
Admission routes2
Has abstractyes

Explore more

Same venueInternational Journal for Crime Justice and Social DemocracySame topicCriminal Justice and Corrections AnalysisFrench-language works237,207