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Record W2961168636 · doi:10.3138/utlj.2019-0057

A new legal science with an old aftertaste

2019· article· en· W2961168636 on OpenAlexvenueno aff
Javier Wilenmann

Bibliographic record

VenueUniversity of Toronto Law Journal · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Law and Evidence
Canadian institutionsnot available
Fundersnot available
KeywordsLegitimacyScholarshipLawPower (physics)Political scienceCriminal justiceArgumentativeNormativeCriticismCriminal lawSociologyLaw and economicsPolitics

Abstract

fetched live from OpenAlex

Opposing a good old liberal self to the degraded image of a coercive present is a recurrent argumentative tool in criminal law scholarship. In an important new book, Markus Dubber attempts to make use of a more complex dualistic framework to better achieve the same objective – namely, subjecting penal power to a normative analysis of legitimacy. He argues that criminal law scholars on both sides of the Atlantic have failed to acknowledge the fact that penal power is constantly shaped by two concurring modes of thought: law and police. Thus, subjecting penal power to a reconstruction of the way in which they find their way into institutional reality would offer a path forward for a legal scholarship truly committed to a legal ideal of legitimacy. This review essay focuses on criticizing this diagnosis. It contends that the image of legitimacy analysis offered by the model neglects many of the most pressing issues faced by modern criminal justice. Thus, despite the convincing criticism to which some forms of scholarship are subjected, the book ends up producing an image of legitimacy analysis that is strikingly similar to its departure point.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.912
Threshold uncertainty score0.998

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 studies0.0010.000
Scholarly communication0.0000.003
Open science0.0010.000
Research integrity0.0000.000
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 head0.011
GPT teacher head0.248
Teacher spread0.238 · 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 designTheoretical or conceptual
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

Citations3
Published2019
Admission routes1
Has abstractyes

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