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Record W2105482465 · doi:10.1177/0891241608322814

Using the Victim Role as Both Sword and Shield

2008· article· en· W2105482465 on OpenAlexaffabout
J. Scott Kenney, Don Clairmont

Bibliographic record

VenueJournal of Contemporary Ethnography · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsDalhousie UniversityMemorial University of Newfoundland
Fundersnot available
KeywordsRestorative justiceCriminologyShameEthnographyRhetorical questionCriminal justiceEconomic JusticeInterpersonal communicationExtant taxonRetributive justiceSociologySocial psychologyPsychologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

Recently, criminal justice professionals have advocated restorative justice as an alternative to traditional punitive practices. Extant research has not examined the strategic interpersonal dynamics between victims, offenders, supporters, and facilitators during restorative justice sessions. Our ethnographic study addresses this gap. Building on studies of emotion in reintegrative shaming, we explore how shaming emotions are dramaturgically mediated by the rhetorical use of victim roles. We suggest that this micropolitical shame management facilitates apparently meaningful outcomes, undermines them, or results in agreements based more on realpolitik than reintegration. Our data are derived from detailed field notes at 28 youth restorative justice sessions in a mid-sized Canadian city. Our findings reveal a different picture than the frequently idealized images of restorative justice, thus underscoring the need for further analysis in this important area of criminal justice.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.012
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0080.026
Scholarly communication0.0060.005
Open science0.0010.006
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.085
GPT teacher head0.349
Teacher spread0.264 · 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 source (direct Gemma or distilled Codex), 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

Citations41
Published2008
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Contemporary EthnographySame topicCriminal Justice and Corrections AnalysisFrench-language works237,207