MétaCan
Menu
Back to cohort
Record W221616279

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

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

Bibliographic record

VenueHarvard international review · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicElectoral Systems and Political Participation
Canadian institutionsnot available
Fundersnot available
KeywordsBallotVotingDemocracyPolitical economyPoliticsVoting behaviorPolitical scienceStraight-ticket votingDisapproval votingLatin AmericansSplit-ticket votingDevelopment economicsSociologyEconomicsLaw
DOInot available

Abstract

fetched live from 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. …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.901
Threshold uncertainty score0.445

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.058
GPT teacher head0.355
Teacher spread0.298 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueHarvard international reviewSame topicElectoral Systems and Political ParticipationFrench-language works237,207