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Record W3049528784 · doi:10.1108/ijph-04-2019-0024

Criminalization and capture strategies in the HIV/AIDS assemblage

2020· article· en· W3049528784 on OpenAlexaffabout
Jen Rinaldi, Olga Marques

Bibliographic record

VenueInternational Journal of Prisoner Health · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsCriminalizationContext (archaeology)CriminologyCriminal justiceSex workPopulationDebilityCriminal lawSociologyMedicineEnvironmental healthHuman immunodeficiency virus (HIV)Virology

Abstract

fetched live from OpenAlex

PURPOSE: This study aims to ask how HIV/AIDS is arranged as a public threat in and through Canadian law, particularly in relation to transmission, and how strategies of capture extend the affective force of criminalization leading to poor health outcomes for persons living with HIV/AIDS. DESIGN/METHODOLOGY/APPROACH: This is a conceptual paper with a focus on applying affect theorist Jasbir Puar's work on assemblage and debility. The authors use Puar's work to frame the conditions that persons with HIV/AIDS experience in the Canadian criminal justice context as debilitating. FINDINGS: The authors found that while HIV transmission is not itself a criminal act in the Canadian criminal justice context, activities where transmission is prevalent or possible have been criminalized, particularly in relation to nondisclosure of health status, sex work and substance use. Further, the authors found that when the activities associated with HIV transmission are criminalized, strategies of capture extend the affective force of criminalization first in the inadequate provision of health-care and pharma-care services, second in state resistance to implement harm reduction measure and third in punitive population management strategies. ORIGINALITY/VALUE: Persons living with HIV/AIDS have historically experienced stigmatization, especially intersecting with neoliberal, white supremacist and heteropatriarchal axes of power. This paper uses assemblage theory to shore up how these relations operate in ways that close off possibilities, by constituting the HIV/AIDS assemblage as a criminal - rather than a health phenomenon. This paper, thus, holds Canada to account for debilitating a historically disadvantaged and multiplying marginalized population.

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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.190
Threshold uncertainty score0.342

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.043
GPT teacher head0.378
Teacher spread0.336 · 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 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

Citations1
Published2020
Admission routes2
Has abstractyes

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