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Record W4234174032 · doi:10.7202/017230ar

Provocations

2005· article· en· W4234174032 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCriminologie · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Economic and Legal Thought
Canadian institutionsnot available
Fundersnot available
KeywordsSanctionsPunishment (psychology)SkepticismInterpretation (philosophy)Criminal justiceSentenceEpistemologySociologyCriminologyCriminal lawLawPsychologyPolitical sciencePhilosophySocial psychologyLinguistics

Abstract

fetched live from OpenAlex

This paper is an attempt at the refutation of certain fallacies, which have gained a wide currency in legal and criminological thinking. These fallacies are the following. First, the mistaken interpretation of universal statements such as “Any person condemns murder” as the expression of a cross-cultural consensus about the blameworthiness of a certain type of behaviour; such statements, it is argued, are mere tautologies reflecting the cogency of our linguistic customs. Second, the erroneous belief that criminology can dogmatically account for the sum of the facts which appertain to its field of study, by means of a single, all-encompassing explanation; arguments are given to show that the fate of criminological studies is fragmentation. Third, it is argued that the criminal justice system should be conceived as an apparatus for social provocation rather than as institutionalized social reaction. Fourth, it is pointed out that we must draw an unambiguous distinction between the legal notion of a sentence and the intuitive notion of punishment; stressing this difference leads the author to compare briefly the main tenets of what he respectively calls dogmatic and sceptical criminology. Finally, the necessity to recognize as separate issues the justification and the allocation of criminal sanctions is proven and it is shown how the penal fascination with capital punishment is responsible for blurring the distinction between these issues.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.974
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.478
GPT teacher head0.432
Teacher spread0.046 · 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