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Record W2070916542 · doi:10.1111/1468-5930.00222

Capital Punishment, Restoration and Moral Rightness

2002· article· en· W2070916542 on OpenAlex
Gary Colwell

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Applied Philosophy · 2002
Typearticle
Languageen
FieldNeuroscience
TopicFree Will and Agency
Canadian institutionsConcordia University of Edmonton
Fundersnot available
KeywordsFantasyCapital punishmentOpposition (politics)RestitutionPunishment (psychology)Argument (complex analysis)Law and economicsSociologyLawCriminologyPhilosophyPolitical sciencePsychologySocial psychologyLiteratureArt

Abstract

fetched live from OpenAlex

In order to show that opposition to capital punishment cannot be both moral and entirely unconditional, Hugo Bedau proposes a fantasy–world scenario in which the execution of a murderer restores his murder victim to life. Were such a world to exist, argues Bedau, the death penalty would then be morally right. The aim of this article is to show that Bedau's argument is mistaken, largely because capital punishment in his fantasy world would not be an instrument of perfect restitution, as he thinks, but instead would be an instrument of unfair restitution. Two attempts are made to repair Bedau's fantasy–world argument, but neither of them is found to be successful. Consequently his fantasy world does not successfully provide the conditions under which opposition to capital punishment morally would have to cease. However, because capital punishment is morally wrong in his fantasy world it does not follow that it is morally wrong in this world.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.362
Threshold uncertainty score0.315

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.051
GPT teacher head0.227
Teacher spread0.176 · 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