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Record W216738496

Militarism, Criminal Justice, and the Hybrid Prison in England and Wales

2004· article· en· W216738496 on OpenAlexaboutno aff
Joe Sim

Bibliographic record

VenueSocial Justice A Journal of Crime Conflict & World Order · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsPrisonMilitarismMass incarcerationSociologyPoliticsCriminologyMilitarizationLawCriminal justiceInstitutionPolitical science
DOInot available

Abstract

fetched live from OpenAlex

JULIA SUDBURY'S COMPELLING ARTICLE ANALYZES THE COMPLEX INTERRELATIONSHIP between militarism, neoliberal globalization of capital, and transnational expansion of prison-industrial complex. The analytical connections she makes between multinational corporations, U.S. empire building and devastated, criminalized lives of women in particular directly challenge mystifying liberal fog that has descended on much of academic debate around prisons. She also challenges critical scholars to think about developing new tactics, strategies, and links in order to repudiate deeply embedded popular and political discourses that extol prison behemoth as a mechanism of social defense operating in public interest. These discourses mystify institution's role as a place of punishment and pain for poor and powerless, especially women, and black and other minority groups. Sudbury's analysis is theoretically stimulating and politically provocative in demanding a reappraisal of our thinking about prisons, particularly in aftermath of September 11 and war in Iraq. My response builds on insights in article to shed light on some recent developments in England and Wales. It does this by focusing on four areas: expanding prison, issue of private prisons, militarization of criminal justice system, and strategies of resistance. The Expanding Prison As Sudbury indicates, modern penal institutions are deeply implicated in management of an inequitable and divided social order through detaining increasing numbers of socially and economically marginalized. In England and Wales, expanding prison is literally and metaphorically big house of poor while, as ever, powerful operate beyond law's reach as successive governments have pursued an anti-statist strategy with respect to non-policing of their destructive and detrimental activities (Sim, 2000). The country is now prison capital of Western Europe. This began in early 1980s when Margaret Thatcher's first Conservative government initiated biggest prison-building program seen in 20th century. This expansion continued over next two decades (despite occasional drop in numbers inside), to point that average daily prison population reached an all-time high of 74,960 in March 2004. Projected figures indicate population could rise to over 109,000 by end of decade (Prison Reform Trust, 2003). Other data provide further evidence of stark reality of penal expansionism. In 2002, courts sentenced 111,600 people to immediate custody and 186,500 to community punishments. Both figures were the highest on record (Home Office, 2004: 2). Taken together, they raise serious issues about the continual recycling of same individuals and groups between prisons and communities, [which] creates a damaging but self-sustaining process (Matthews, 2003: Abstract). As in USA, prison in England and Wales has become a punitive space for disproportionate detention of black people in general and black women in particular. In 2001, incarceration rate for white people was 170 per 100,000 of population. This compared with 1,140 per 100,000 for black people, 536 per 100,000 for Chinese and other groups, and 166 per 100,000 for South Asians (Home Office, 2003a: 106; 113). At end of June 2002, 22% of male population and 29% of female population came from ethnic minority backgrounds. In addition, foreign nationals made up 11% of prison population. In terms of drugs, and again running parallel with Sudbury's argument, 28% of sentenced female British nationals were imprisoned for drug offenses. This figure rose to 84% in case of female foreign nationals (Home Office, 2003b: 114). Once confined, black and other minority groups experience a range of inequalities based on skin color (Commission for Racial Equality, 2003). …

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)0.002
metaresearch head score (Gemma)0.001
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 score0.135
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.024
GPT teacher head0.322
Teacher spread0.298 · 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

Citations9
Published2004
Admission routes1
Has abstractyes

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