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Record W4393987535 · doi:10.26522/ssj.v18i2.4295

Against Care: Abolition and the Progressive Jail Assemblage

2024· article· en· W4393987535 on OpenAlexvenueno aff
Justin Helepololei

Bibliographic record

VenueStudies in Social Justice · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsAssemblage (archaeology)Political scienceHistoryArchaeology

Abstract

fetched live from OpenAlex

This article uses the concept of a progressive jail assemblage to think about the focus on jails as both a target of social justice organizing and a tool for advancing social justice goals. Drawing on ethnographic research conducted among formerly incarcerated organizers and their allies in Western Massachusetts (New England), I explore how the sheriffs who operate jails in this region, along with their collaborators, have increasingly sought to redefine the figure of the criminal as not just a danger to others but also a danger to themselves, someone in need of rehabilitative treatment and even care. In doing so, these sheriffs have attempted to reinvent their role, from the quintessentially American crime fighting figure, to one who is also a provider of care. Social justice activism has helped to expand the “caring” role of the jail, through increased addiction treatment, re-entry support, and community outreach – even to the extent of incarcerating individuals dealing with addiction who have not been charged with a crime. As progressive jails have been reconfigured as providers of care, abolitionists are confronted with the ongoing dilemma of how to remain a figure opposed to the use of prisons and jails without being seen as against care.

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)0.001
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 score0.321
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
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 head0.418
Teacher spread0.375 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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