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Record W3103894387

Does punishing the guilty mean punishing their families? A Canadian perspective

2018· article· en· W3103894387 on OpenAlexaboutno aff
Frédéric Mégret

Bibliographic record

VenueLes Cahiers de la Justice · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsPunishment (psychology)SentenceCriminologyCriminal justicePerspective (graphical)PrisonConvictRationalityAffect (linguistics)PhenomenonInvisibilitySociologyPsychologySocial psychologyPolitical scienceLawEpistemologyComputer science
DOInot available

Abstract

fetched live from OpenAlex

The prison sentence often affects the convict’s family circle? Non-issue or real question? Frederic Megret informs us on the theoretical works that could explain this phenomenon. The invisibility of families questions the criminal rationality: if we affect, do we punish? Families can be seen as an active component of crime, as a passive victim of punishment or as a vehicle for their punishment. The fact of considering the impact of the sentence on families could form the basis of a potential reform, particularly when sentencing, or implementing the execution of the sentence. Families could represent the missing piece of this complex puzzle, a hyphen to better understand how the individual and the social are intertwined. The issue of the convicts’ families is an open invitation to rethink the criminal justice systems.

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)0.002
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 score0.259
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0050.002
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.012
GPT teacher head0.290
Teacher spread0.277 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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