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Record W7040912094

[no title]

2023· other· en· W7040912094 on OpenAlexaboutno aff

Bibliographic record

VenueDirectory of Open access Books (OAPEN Foundation) · 2023
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsImprisonmentPrisonDisgustEthnographyConviction
DOInot available

Abstract

fetched live from OpenAlex

Recent decades have seen a widespread effort to imprison more people for sexual violence. The Stains of Imprisonment offers an ethnographic account of one of the worlds that this push has created: an English prison for men convicted of sex offenses. This book examines the ways in which prisons are morally communicative institutions, instilling in prisoners particular ideas about the offenses they have committed—ideas that carry implications for prisoners’ moral character. Investigating the moral messages contained in the prosaic yet power-imbued processes that make up daily life in custody, Ievins finds that the prison she studied communicated a pervasive sense of disgust and shame, marking the men it held as permanently stained. Rather than promoting accountability, this message discouraged prisoners from engaging in serious moral reflection on the harms they had caused. Analyzing these effects, Ievins explores the role that imprisonment plays as a response to sexual harm, and the extent to which it takes us closer to and further from justice.
\n“A highly original and empirically grounded account of what imprisonment communicates and fails to communicate to men convicted of sexual offenses. This book is, by some distance, the best-developed analysis of how men in this position experience and make sense of their punishment.” — FERGUS McNEILL, author of Pervasive Punishment: Making Sense of Mass Supervision
\n“The Stains of Imprisonment gives the reader captivating insight into the world that is prison for men convicted of sex offenses. Ievins deftly weaves together theoretical discussions of feminism and the carceral with the nuanced experiences of the men interviewed. A definite must-read for anyone interested in punishment and prison.” — ROSEMARY RICCIARDELLI, author of Also Serving Time: Canada’s Provincial and Territorial Correctional Officers

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Open science, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Open science, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.249
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0020.003
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0050.003
Science and technology studies0.0010.001
Scholarly communication0.0100.013
Open science0.0250.013
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0790.058

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 head0.150
GPT teacher head0.456
Teacher spread0.306 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2023
Admission routes1
Has abstractyes

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