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Record W2187523562 · doi:10.15273/jue.v1i1.8063

Acknowledging the Stigmatized: Sex Offenders and Their Outlooks versus Women in Relationships with Incarcerated Men and Their Perceptions of the Criminal Justice System

2011· article· en· W2187523562 on OpenAlexvenueno aff
Caroline Womer

Bibliographic record

VenueJournal for Undergraduate Ethnography · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsSchema (genetic algorithms)PsychologyCriminal justicePerceptionSocial psychologyCriminology

Abstract

fetched live from OpenAlex

Offenders are a stigmatized group of individuals, making it difficult for society to proffer second chances so willingly. Furthermore, many women in relationships with offenders suffer the stigma that offenders themselves experience. This study offers a theoretical contribution that focuses mostly on sex offenders in an attempt to help reshape their perceptions and bring clarity to an existing theoretical framework. Sex offenders’ outlooks were examined and placed into a three schema approach (instrumental, political, and cultural schemas), implemented from a previous study, based on their overall mentality and how they have rationalized their offenses. Similarly, women’s perceptions of the criminal justice system, based on society’s views toward their relationship with an offender, were categorized into the three schemas to contrast the varying types of stigma. In this study, about 40 letters from sex offenders, as well as select stories from a book containing sex offender accounts, were coded and analyzed under this framework using Atlas-ti. Additionally, twelve interviews were carried out with women in relationships with incarcerated men. Results suggest that while many sex offenders desire change, they do not take full responsibility for their actions, meaning that these particular offenders’ outlooks do not fit neatly into one schema. A fourth schema, christened the “chimerical schema”, is proposed to further explain offenders’ outlooks. Mostof the women’s perceptions, however, easily fit into one of the three schemas, rendering the fourth schema unnecessary. This study will add to an existing theoretical framework, making it more applicable to other marginalized groups.

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)0.000
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 score0.013
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.001
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 head0.079
GPT teacher head0.302
Teacher spread0.223 · 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
Published2011
Admission routes1
Has abstractyes

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