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Enregistrement W221616279

Beyond the Ballot Box: Social Groups and Voting in Democratic Polities

2008· article· en· W221616279 sur OpenAlexaboutno aff
Jeff Manza, Ruth Braunstein

Notice bibliographique

RevueHarvard international review · 2008
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueElectoral Systems and Political Participation
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésBallotVotingDemocracyPolitical economyPoliticsVoting behaviorPolitical scienceStraight-ticket votingDisapproval votingLatin AmericansSplit-ticket votingDevelopment economicsSociologyEconomicsLaw
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Elections matter in democratic societies. They not only decide who will govern, but they can also reveal, beneath the surface, other important pieces of information about political life. Behind the aggregate total of votes received by each party lies a puzzle: where do the votes come from? The profile of party electoral coalitions is important because once in power, parties tend to reward their most important supporters. As these profiles change, whether as a result of demographic shifts, declining rates of political participation, or changes in voting behavior, influences on the policies of democratically elected governments change as well. [ILLUSTRATION OMITTED] The study of the social bases of voting behavior (and how they change over time) has been an important part of the tradition of voting studies. It is also a central focus of political strategists and campaign managers seeking to maximize candidate and party vote shares. In this essay, we discuss some of the most important changes in voting demographics. To keep the discussion manageable, our focus is on the established democracies of Western Europe and North America, although many of the same. points could be made about some of the newer democracies in Eastern Europe, Asia, and Latin America. Elections in the rich democracies during the first three-quarters of the 20th century were defined by fairly stable group-based alignments. Historically, the two most important of these were those based on religion and class, with religion as a generally stronger predictor of voting-behavior. More recently, a gender cleavage has opened up in many countries, with women shifting in significant numbers towards center-left parties. In some places, other.group-based alignments--such as those along linguistic, regional, or racial lines--have also been important, although these have varied from country to country and have not lent themselves to broad generalizations. In the United States, for example, African-American voters have been overwhelmingly Democratic since the early 1960s, representing perhaps the single strongest group alignment in any of the rich democracies today. Regional and linguistic divides in countries like Canada or Belgium can play an important role. And rising rates of immigration are becoming increasingly significant, especially in countries where immigrants or their children can gain citizenship rights. The classical theory of group alignments holds that once a group comes to be politically aligned in the party system, that alignment tends to endure and reproduce itself. The logic is that party leaders and candidates make similar group-based appeals and policy commitments at each election that are sufficient to remind voters of their usual preferences. But these evidently settled questions have become deeply unsettled in recent years. Understanding what these changes are, and how they are impacting elections and a the party systems of democratic polities, is a complicated challenge for scholars, political commentators, and party-strategists alike. We think the best way to unpack this puzzle is by returning to the question posed at the beginning of this essay: where do the votes come from? This in turn can be broken down into three smaller questions: (1) who votes? (2) how are important groups aligned with parties? and (3) how has the size of key groups (and how they change over time) impacted parties and elections? Who Votes? In many rich democracies, turnout in national elections is high (80 percent or more). When turnout is very high, turnout rates among groups do not vary much. But it has long been understood that in elections in which turnout is far from universal, resource-rich groups vote at higher rates than more disadvantaged groups. For example, in the United States, where turnout rates in presidential elections have been between 55 percent and 60 percent in recent elections, there is typically a large turnout gap (25 percent or more) between the highest turnout group within a cleavage category and the lowest (e. …

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)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,901
Score d'incertitude au seuil0,445

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
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)0,0000,000

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 Opus0,058
Tête enseignante GPT0,355
Écart entre enseignants0,298 · 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'étudeThéorique ou conceptuel
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

Citations1
Publié2008
Routes d'admission1
Résumé présentoui

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