Public Trust and Regulatory Governance as represented through the Media
Notice bibliographique
Résumé
Media coverage of politics often comments on decline of public's trust in institutions. There is a notion that public trust of is steadily decreasing. Many factors contribute to this reduced trust, including: unhappiness with performance, negativity of election campaigns, distrust of traditional political parties, scandalous behavior of officials (unethical, incompetent or corrupt conduct) and changing role of media. (1) The media is said to be more interpretive in its reporting and critical of politicians and government (2) and thus, politicians and are subject to criticism on a daily basis. The use of the eight-second spot, quotable quote, sound bite and live television in House of Commons (3) has assisted in turning politics into a public spectacle. The framing of political coverage in these negative tones stimulates public cynicism which leads to distrust in government. Past studies have suggested that increased public confidence in institutions, particularly regulatory agencies, results in increased public comfort with work of those agencies. (4) This is particularly important for regulators of new technologies such as agricultural or health biotechnology. In order for public to accept new technologies, a high level of public comfort is needed. Where regulatory processes are transparent and public is informed of new research and developments in regulatory process, public comfort (and public trust) increases. When there is a lack of trust in generally, and in regulatory systems specifically, producer and consumer utilization of new developments in biotechnology may decrease. There is no doubt that media exerts some influence on interactions between public and institutions. However it is unclear whether media shapes public opinion, or if media coverage is a mere reflection of public's opinion. This study examines level of public trust/confidence in regulatory agencies through public opinion data from 1990 to present. We collected and compiled data in three separate categories: politicians, civil/public service and regulatory agencies. We found that politicians have lowest levels of public trust, ranging from 18% to 46%. The civil/public Service has much higher levels of public trust, ranging from 47% to 72%. Finally, regulatory agencies (in this case Health Canada, Environment Canada and Canadian Food Inspection Agency) all maintained high levels of public trust, approximately 70% for every year surveyed. (5) The second part of this study examines newspaper coverage of Canadian regulatory agencies for agricultural and health biotechnology. …
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 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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,002 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».