Comparative Study of Electoral Systems, 2001-2006
Notice bibliographique
Résumé
This study is the full release of 2001-2006 data from Module 2 of the Comparative Study of Electoral Systems. The Comparative Study of Electoral Systems is an ongoing collaborative program of crossnational research among national election studies designed to advance the understanding of electoral behavior across polities. The project, which is being carried out in over 50 consolidated and emerging democracies, was coordinated by social scientists from around the world who cooperated to specify the research agenda, the study design, and the micro- and macro-level data that native teams of researchers collected within each polity. This collection currently comprises data from surveys conducted in the countries of Albania, Australia, Belgium, Brazil, Bulgaria, Canada, Chile, Czech Republic, Denmark, Finland, France, Germany, Great Britain, Hong Kong, Hungary, Iceland, Ireland, Israel, Italy, Japan, Kyrgyzstan, Mexico, Netherlands, New Zealand, Norway, Peru, Philippines, Poland, Portugal, Romania, Russia, Slovenia, South Korea, Spain, Sweden, Switzerland, Taiwan, and the United States. Module 2 focuses on electoral institutions and political behavior, particularly on the fundamental principles of democratic governance: representation and accountability. It aims to examine how well different electoral institutions function as mechanisms by which citizens' views are represented in the policymaking process, and by which citizens hold their elected representatives accountable. This is accomplished by explicitly linking individual attitudes and behaviors to the political context across a variety of settings. The module added a new set of items on citizen engagement and cognition across demographic polities, and expanded the analyses of the first module to examine how voters' choices are affected by the institutional context within which those choices are made. The survey results have been compiled and supplemented with district-level information that provides insight into the respondent's political context, and macro-level data that detail the respondent's political system as a whole. At each level of data collection, the measurements used have been standardized to promote comparison. Demographic variables include age, sex, race, ethnicity, education level, marital status, employment status, occupation, household union membership, language, socioeconomic status, political party affiliation, political orientation, religious preference, frequency of religious attendance, household income, number of children and other members of the household, and type of residential area (e.g., urban or rural).
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 | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| 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 | 0,001 |
| 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 ».