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Record W7098752761

Consumed with sex: The treatment of sex offender in risk society

2008· article· en· W7098752761 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicAdvanced Data Storage Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsSex offenderPenologyPrisonContext (archaeology)RecidivismSex offenseIdentity (music)Misdemeanor
DOInot available

Abstract

fetched live from OpenAlex

This ethnography of a prison treatment programme for sex offenders examines the meaning of reha-bilitation in the context of the ‘ new penology ’. As it explores how cognitive – behaviourism structures treatment, it uncovers a therapeutics grounded in risk that actively constructs the identity of the sex offender. It shows how the management of risk relies on techniques of introspection and self-discipline — a patient’s internalization of his crime cycle and relapse prevention plan — that target primarily sexual fantasies. These self-policing techniques radically transform the sex offender into a species entirely consumed by sex. On 16 April 2006, Stephen Marshall — a Canadian in his early twenties — traveled to Maine, USA, ostensibly to visit his father for Easter. Using his father’s handgun, he instead murdered two sex offenders whose names and addresses he had found on Maine’s online sex offender registry. Marshall’s motivations are unknown because he shot himself shortly after the murders. Whether he understood the difference between the offences of the two men he shot is also unknown, but a difference there was. Fifty-seven-year-old Joseph Gray had been convicted of sexually assaulting a child, whereas 24-year-old William Elliot had been convicted of statutory rape. The sex offender regis-

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)0.000
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.670
Threshold uncertainty score0.196

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.028
GPT teacher head0.244
Teacher spread0.216 · 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 designOther design
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
Published2008
Admission routes1
Has abstractyes

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