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Record W4255801062 · doi:10.3138/utlj.59.1.65

THE IMPOSSIBILITY OF AN EXTERMINATORY LEGALITY: LAW AND THE HOLOCAUST

2009· article· en· W4255801062 on OpenAlexvenueno aff
Kristen Rundle

Bibliographic record

VenueUniversity of Toronto Law Journal · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicJudicial and Constitutional Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPrinciple of legalityLawNazismThe HolocaustPolitical scienceJudaismImpossibilitySociologyPhilosophyPoliticsTheology

Abstract

fetched live from OpenAlex

Discussions of Nazi law in legal philosophy are most commonly concerned with how the Nazis' use of law as a means to persecute their opponents demonstrates the essential amorality of law. Attention is often also paid to the institutional debasements and interpretive excesses that characterized the operation of the Nazi political courts. Within these discussions, however, little or no consideration is given to the specificities of the Jewish experience of Nazi law, nor to the fact that the role of law in determining the nature and quality of Jewish life stopped short of the extermination program. In this article, the author seeks to correct this neglect by exploring the questions for legal philosophy, as well as for scholarship that probes the connections between law and the Holocaust, that arise from an examination of the Jewish experience of Nazi law. Drawing primarily upon the thought of the mid-twentieth-century legal philosopher Lon L. Fuller, the author investigates what the apparent shift from legality to terror within the Nazi persecution of the Jews might reveal not only about the institutional features of that persecutory program but also about the nature of legality more generally.

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)0.002
metaresearch head score (Gemma)0.004
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: Empirical
Teacher disagreement score0.206
Threshold uncertainty score0.410

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.094
Scholarly communication0.0090.004
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.256
Teacher spread0.244 · 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

Citations65
Published2009
Admission routes1
Has abstractyes

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