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Record W280588165

Changer les lois, les idées, les pratiques: Réflexions sur l'échec de la réforme de la détermination de la peine (Changing Laws, Ideas and Practices: An Essay on the (Failed) Sentencing Reform)

2009· article· fr· W280588165 on OpenAlexaff
André Jodouin, Marie-Ève Sylvestre

Bibliographic record

VenueSSRN Electronic Journal · 2009
Typearticle
Languagefr
FieldSocial Sciences
TopicCriminal Law and Evidence
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophyInterpretation (philosophy)Sociology
DOInot available

Abstract

fetched live from OpenAlex

French Abstract: Cet article propose une explication pour l’echec de la recente reforme de la determination de la peine. Il souligne d’abord des deficiences graves dans les sources formelles du droit qui pretendaient l’instituer, tant sur le plan des textes legislatifs et de leur interpretation que sur celui de leurs assises philosophiques et doctrinales. Cependant, au-dela des contradictions et des incoherences qui affligent les sources formelles, le droit de la peine et de sa determination comporte une composante etonnamment complexe de regles systemiques et de pratiques, generee par les acteurs pour resoudre les tensions internes du systeme de justice penal. L’incapacite des reformateurs de comprendre la signification de cette composante et d’en tenir compte dans le projet de reforme vouait cette derniere a l’echec.English Abstract: This article seeks to explain the failure of the recent attempt at sentencing reform. First, the authors point out the major deficiencies in the formal sources of law that sought to implement it : the legislation and its interpretation, as well as their philosophical and doctrinal underpinnings. Secondly, the authors look beyond the contradictions and inconsistencies of the formal sources to consider the vast array of systemic rules and informal practices that are generated by the various actors of the criminal justice system in response to its internal tensions. The authors argue that it is the inability of the reformers to understand the significance of this component and to include it in he reform that ultimately doomed the whole endeavour.

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)0.008
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.054
Threshold uncertainty score0.161

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.038
Scholarly communication0.0100.007
Open science0.0010.003
Research integrity0.0060.008
Insufficient payload (model declined to judge)0.0040.001

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 head0.027
GPT teacher head0.364
Teacher spread0.337 · 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 designTheoretical or conceptual
Domainnot available
GenreCommentary

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
Published2009
Admission routes1
Has abstractyes

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Same venueSSRN Electronic JournalSame topicCriminal Law and EvidenceFrench-language works237,207