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Record W4254361771 · doi:10.3138/utlj.61.4.761

BASIC RIGHTS AND SUBSTANTIVE CRIMINAL LAW: THE INCEST CASE

2011· article· en· W4254361771 on OpenAlexvenueno aff
Otto Lagodny

Bibliographic record

VenueUniversity of Toronto Law Journal · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Law and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsLawCriminal lawPublic lawPolitical scienceTheory of criminal justiceCriminal procedureComparative lawLegislatorCriminalizationConstitutional lawCommon lawPrivate lawCivil law (Civil law)Criminal justiceLegislation

Abstract

fetched live from OpenAlex

To what extent do constitutional basic rights limit the legislator in the field of substantive criminal law? This is the main question of this article. Its dilemma is that, at least from a continental view, we have two ‘disciplines’ dealing with them: constitutional law and criminal law. The divergence culminates in the concept of the Rechtsgut (public value or interest), which serves as a starting point in the criminal law arena. This difference was decisive in a case where the German Constitutional Court stated that the punishment of incest between natural siblings is not contrary to the German Basic Law. Criminal lawyers disagree with that ruling because the criminal law provision does not protect a legitimate Rechtsgut. The ‘criminal law school’ of the Rechtsgut puts all aspects of legitimate criminalization into one and only box: ‘the’ Rechtsgut. This is not convincing from the point of view of constitutional law.

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)0.006
metaresearch head score (Gemma)0.011
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: Empirical · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0060.033
Scholarly communication0.0050.007
Open science0.0020.008
Research integrity0.0070.011
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 head0.043
GPT teacher head0.267
Teacher spread0.224 · 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
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

Citations1
Published2011
Admission routes1
Has abstractyes

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