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Record W2095005720 · doi:10.1093/bjc/azl078

Family-Based Justice in the Sentencing of Domestic Violence

2006· article· en· W2095005720 on OpenAlexaff
Ronit Dinovitzer, Myrna Dawson

Bibliographic record

VenueThe British Journal of Criminology · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCriminologyEconomic JusticeDomestic violencePsychologyPolitical scienceLawMedical emergencyMedicineHuman factors and ergonomicsPoison control

Abstract

fetched live from OpenAlex

While historical research has noted the importance of the ‘family’ in criminal justice, recent empirical work has tended to neglect the emphasis placed on the family in the criminal process. Drawing on Daly’s work on familial justice, this paper investigates the role of the family in the sentencing of offenders in a specialized domestic violence court. We examine both the likelihood of incarceration and the determinants of sentence length, and find that conceptions of the family continue to have an important influence on these criminal process outcomes. In cases in which the victim has suffered serious injuries, offenders in intact relationships are more likely to be sentenced to jail, yet, at the same time, when incarcerated, these offenders receive shorter sentences. Thus, even as researchers are documenting broader shifts away from the promotion of substantive values through the criminal process, the current study suggests the continued relevance of ‘family-based justice’ in the sanctioning of offenders, so that moral imperatives continue to intersect with the actuarial logic of modern penal practices.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.912
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.040
GPT teacher head0.314
Teacher spread0.275 · 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

Citations19
Published2006
Admission routes1
Has abstractyes

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