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Record W2267148720

Lifting the Cloak: Preventive Detention as Punishment

2011· article· en· W2267148720 on OpenAlexfundno aff
Douglas Husak

Bibliographic record

VenueDigital USD (University of San Diego) · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicTorture, Ethics, and Law
Canadian institutionsnot available
FundersYork University
KeywordsPunishment (psychology)NormativePreventive detentionCriminologyCloakPsychologyPolitical scienceComputer securityLawSocial psychologyComputer science
DOInot available

Abstract

fetched live from OpenAlex

Most of the scholarly reaction to systems of preventive detention has been hostile. Negative judgments are especially prevalent among penal theorists who hold nonconsequentialist, retributivist rationales for criminal law and punishment. Surely their criticisms are warranted as long as we confine our focus to the existing systems of preventive detention that flagrantly disregard fundamental principles of legality and desert. Nonetheless, I believe that many of their more sweeping objections tend to rest too uncritically on doctrines of criminal theory that are not always supported by sound arguments even though they are widely accepted. I will contend that we cannot fully evaluate the morality of preventive deprivations of liberty as a general practice unless we are prepared to reexamine some of these doctrines. Any such reexamination would probe into deep and divisive questions about the nature and justification of state punishment and the substantive criminal law. I will hazard positions about several of these difficult questions, but I am aware that many of my claims are highly controversial. I will not go to great lengths to support them here; a sustained defense of these positions would require a separate treatise. I reach two conclusions. First, we have little choice but to adopt views on these questions if we hope to fully assess the morality of preventive deprivations of liberty. Second, if we challenge conventional wisdom and adopt the positions I favor on these topics, we will have a hard time citing serious principled objections to preventive detention unless we share similar objections to state punishment. When suitably modified, given modes of preventive detention can be made to be defensible.

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)0.019
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: Other · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0050.039
Scholarly communication0.0070.008
Open science0.0020.006
Research integrity0.0110.014
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 head0.043
GPT teacher head0.245
Teacher spread0.202 · 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
GenreOther

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

Citations36
Published2011
Admission routes1
Has abstractyes

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