A Return of Trust? Future of Democracy 01.2020 May 2020.
Notice bibliographique
Résumé
The initial phase of the corona crisis has led to a significant improvement in the levels of confidence that Germans have in their state and government. More than two-thirds of all people in Germany currently regard the state as being “rather strong” or “very strong.” This means that the level of trust has risen by 23 percentage points since the end of 2019. At the same time, less than a quarter (23%) still think the state is “rather weak” or “very weak.” That is only about half as many people as at the end of 2019. In addition, more than twice as many people (49%) compared to last year, consider our government to be “strong enough,” and only half as many currently view the political system and political stability as weaknesses. Satisfaction with the government has also reached a high level as compared to other countries. Thus, the initial phase of combating the pandemic has led to a massive return of trust in the state’s and the government’s ability to act. The current trust levels are the highest seen in more than twenty years. Although there was still talk at the end of 2019 of an “erosion of trust,” public sentiment has turned completely around during the first phase of the crisis. But how stable are these figures? In any case, one thing is certain: The measured confidence levels are situation-related “performance evaluations.” In other words, they depict sentiments related to an ongoing event. If the assessed event changes, trust levels can also change again. In the process, short-term setbacks are just as imaginable as further consolidation or improvement. Therefore, the measured values represent situation-specific sentiments rather than basic convictions independent of current events. Nevertheless, they do show that the first phase of combating the pandemic has led to a significant increase in popular trust in the government. This freshly gained capital could still be needed in subsequent phases, so it must not be carelessly squandered in the phase of initial easing that is just now beginning.
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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) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 ».