Beyond Frequency: Perceived Realism and the <i>CSI</i> Effect
Pourquoi ce travail est dans la base
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Notice bibliographique
Résumé
Although police, lawyers, judges, and even some community members believe that CSI-type shows have seriously affected the criminal justice system (termed the CSI effect), empirical research has not demonstrated a link between crime television viewing and verdicts. However, the literature has established that higher frequencies of crime television viewing are associated with increased expectations of evidence, different attitudes toward evidence types, and varying self-reported levels of understanding of scientific evidence. The present study sought to extend our understanding of the influence of crime television on attitudes, expectations, and verdicts by examining the influence of perceived realism (i.e., the degree to which television programs are viewed as accurate and realistic depictions of the field that they portray) in this context, since some research has identified perceived realism as a moderator of the effects of television on attitudes. Participants were asked to play the role of mock jurors and read a trial transcript in which the Crown presented DNA evidence. Participants also indicated the frequency with which they watched crime television programs (frequency), as well as the degree to which they felt these programs were accurate and realistic depictions of the criminal justice system (perceived realism). Results revealed a number of interesting direct and indirect effects of both frequency of viewing and perceived realism on mock juror information processing, attitudes, and decision making, suggesting that in order to truly understand the effect that crime television may have on potential jurors, their frequency of watching must be considered in combination with the degree to which they perceive these programs as realistic depictions of the justice system.
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.
Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,008 | 0,013 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,003 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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