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Record W2267148720

Lifting the Cloak: Preventive Detention as Punishment

2011· article· en· W2267148720 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.

fundA Canadian funder is recorded on the work.
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

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.552
Threshold uncertainty score0.592

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 studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.043
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