1.

Record Nr.

UNINA9910465617303321

Autore

Birch Sarah <1963->

Titolo

Full participation [[electronic resource] ] : a comparative study of compulsory voting / / Sarah Birch

Pubbl/distr/stampa

Manchester ; ; New York, : Manchester University Press, c2008

ISBN

1-78170-187-3

1-84779-270-7

Descrizione fisica

1 online resource (287 p.)

Disciplina

324.6/5

Soggetti

Voting, Compulsory

Electronic books.

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Introduction -- A history of compulsory voting and an overview of contemporary experience -- Normative arguments for and against compulsory voting -- Compulsory voting and election campaigns -- Compulsory voting and electoral turnout -- Compulsory voting, electoral integrity and democratic legitimacy -- Compulsory voting and political outcomes -- Conclusion.

Sommario/riassunto

About a quarter of all democracies today legally oblige their citizens to vote, making this an important aspect of electoral systems in many settings. Moreover, numerous commentators and policy-makers in voluntary voting states are coming to view mandatory attendance at the polls as an attractive option in the context of declining turnout. Yet there has been a dearth of analysis of the way in which compulsory voting shapes attitudes, behaviour and outcomes of the political process. This volume fills that gap by providing a comprehensive description, analysis and evaluation of compulsory voting



2.

Record Nr.

UNICAMPANIAVAN00250066

Titolo

Advanced Studies in Classification and Data Science / Tadashi Imaizumi ... [et al.] editors

Pubbl/distr/stampa

Singapore, : Springer, 2020

Titolo uniforme

Advanced Studies in Classification and Data Science

Descrizione fisica

xi, 524 p. : ill. ; 24 cm

Soggetti

00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]

62-XX - Statistics [MSC 2020]

62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020]

62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020]

62R07 - Statistical aspects of big data and data science [MSC 2020]

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia