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Enregistrement W294007707

Attitude toward Capital Punishment Is Related to Capital and Non-Capital Sentencing

2006· article· en· W294007707 sur OpenAlexaboutno aff
Stuart J. McKelvie

Notice bibliographique

RevueNorth American journal of psychology · 2006
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueCrime Patterns and Interventions
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésSeriousnessCapital (architecture)PsychologyCapital punishmentSocial psychologyPrisonPunishment (psychology)CriminologySentencePolitical scienceLaw
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Two hundred and twenty eight Canadian undergraduates read one of two crime vignettes that varied in how justified a murder seemed to be, then made capital (death penalty), capital-related (method of execution), and non capital (prison term, granting of parole, waiting period before parole) sentencing recommendations. Compared to people with a negative attitude toward capital punishment, people with a positive attitude were more severe for both the capital and non capital judgments. They were also harsher for the less than for the more justifiable crime, whereas people with a negative attitude gave similar judgments in each case. Women were generally harsher than men. It is suggested that members of juries chosen to be death-qualified may be biased in any non capital recommendations and that attitude toward capital punishment may reflect other personality traits and values that determine how generally harsh a person's recommended punishment will be. When a defendant is found guilty, the judgment and subsequent sentence should be based on evidential factors such as crime seriousness and the degree of criminal responsibility (Mazzella & Feingold, 1994). That is, using legally-admissable evidence, punishment should be harsher for crimes that are more serious than those that are less serious, and for people who planned the crime and carried it out intentionally than for those who acted less deliberately. Severity of punishment might also depend on the circumstances in which the crime was committed, particularly if the defendant is judged to have had some justification for committing the crime. Other extralegal factors may also influence offender treatment. Some of these, such as the employment status or sex of the defendant, may be appropriate on utilitarian grounds because they are thought to predict recidivism (Gebotys & Roberts, 1987). For example, an employed person has a lower risk of re-offending than an unemployed person and so may be given a lighter sentence than an unemployed person. However, other factors, such as defendant attractiveness (Mazzella & Feingold, 1994), represent bias and are unacceptable. For example, people who are more attractive have been judged more leniently than people who are less attractive (Mazzella & Feingold, 1994). These factors refer to the offender, but some refer to the judge and jury, who are often permitted considerable discretion when deciding punishment (Wheeler, Weisburd & Bode, 1982). One of these personal characteristics is attitude toward capital punishment, which may be an acceptable or an unacceptable extralegal factor, depending on the nature of the sentence. For example, as long as a penalty recommendation follows the law, courts in the United States accept that jurors' attitude towards capital punishment will be related to their verdict, because the penalty could never be rendered by people who are not death qualified (O'Neil, Patry, & Penrod, 2004). However, it would not be appropriate for attitude towards capital punishment to influence non capital sentences. Furthermore, it would not be appropriate for any sentencing decision to be related to subject factors such as the sex, personality traits or political values of people making judgments. Unfortunately, there is evidence of this kind of bias. For sex, men are usually harsher than women when recommending the penalty in a specific case (Honeyman & Ogloff, 1996). Although studies show no relationship between sex and length of prison sentence (McKelvie, Mitchell, Arnot, & Sullivan, 1993; Riedel, 1993), some show that men are harsher (McKelvie, 2002) and others show that women are harsher (McNamara, Vattano, & Viney, 1993). With regard to personality and values, people who are high in authoritarianism have recommended more severe punishment than those who are low (Gerbasi, Zuckerman, & Reis, 1977), particularly if they perceive themselves to have different attitudes than the defendant (Mitchell & Byrne, 1973). …

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,044
Score d'incertitude au seuil0,922

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,019
Tête enseignante GPT0,352
Écart entre enseignants0,333 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations6
Publié2006
Routes d'admission1
Résumé présentoui

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