Election instruction manual.

Issued in 2 pts.: 1) Voting machine precincts; 2) Paper ballot precincts.

Election '96, counting the American electorate.

Mode of access: Internet.

The electronic transmission of election materials /

"September 1995."

Ballot security and accountability /

Mode of access: Internet.

All-mail-ballot elections /

Mode of access: Internet.

The non-voter, who he is, what he thinks.

Mode of access: Internet.

Absentee voters and suffrage laws.

Limited, with minor exceptions, to continental United States.

Report.

Mode of access: Internet.

Educated by initiative : the effects of direct democracy on citizens and political organizations in the American states /

Includes bibliographical references and index.

Public choice of species for the 'Ark': Phylogenetic similarity and preferred wildlife species for survival

Humans play a role in deciding the fate of species in the current extinction wave. Because of the previous Similarity Principle, physical attractiveness and likeability, it has been argued that public choice favours the survival of species that satisfy these criteria at the expense of other species. This paper empirically tests this argument by considering a hypothetical ‘Ark’ situation. Surveys of 204 members of the Australian public inquired whether they are in favour of the survival of each of 24 native mammal, bird and reptile species (prior to and after information provision about each species). The species were ranked by percentage of ‘yes’ votes received. Species composition by taxon in various fractions of the ranking was determined. If the previous Similarity Principle holds, mammals should rank highly and dominate the top fractions of animals saved in the hierarchical list. We find that although mammals would be over-represented in the ‘Ark’, birds and reptiles are unlikely to be excluded when social choice is based on numbers ‘voting’ for the survival of each species. Support for the previous Similarity Principle is apparent particularly after information provision. Public policy implications of this are noted and recommendations are given.

INFLUÊNCIA DA COMUNICAÇÃO POLÍTICA NO SISTEMA DE VOTAÇÃO ELETRÔNICO BRASILEIRO

A velocidade da informação e do conhecimento instaurou na sociedade contemporânea uma constante busca pela melhoria dos processos informacionais, com vistas a garantir maior rapidez nos processamentos e resultados. No universo público, as exigências caminham de modo similar, sob o olhar do eleitor cidadão, portanto, a proposta da pesquisa é promover um panorama do sistema eletrônico de votação brasileiro, mais precisamente a Urna Eletrônica e transitar desde a concepção do projeto nos idos da década de 90 até o momento atual, apontando um olhar científico para as ações comunicacionais do Tribunal Superior Eleitoral (TSE), no sentido de promover campanhas publicitárias para fomentar a conscientização do sistema informatizado de voto pelos eleitores, supostamente mais rápido e eficiente. A pesquisa utiliza para fins descritivos múltiplas visões da comunicação da urna: por intermédio do órgão mantenedor, os políticos, diretamente envolvidos no pleito competitivo e os consultores políticos, atuantes nas estratégias de bastidores das campanhas eleitorais. Essa diversidade de visões e posições acerca da credibilidade do sistema busca propiciar a pesquisa um caráter de macro compreensão dos impactos de um sistema informatizado em um ambiente democrático.(AU)

A comparative evaluation of term recognition algorithms

Automatic Term Recognition (ATR) is a fundamental processing step preceding more complex tasks such as semantic search and ontology learning. From a large number of methodologies available in the literature only a few are able to handle both single and multi-word terms. In this paper we present a comparison of five such algorithms and propose a combined approach using a voting mechanism. We evaluated the six approaches using two different corpora and show how the voting algorithm performs best on one corpus (a collection of texts from Wikipedia) and less well using the Genia corpus (a standard life science corpus). This indicates that choice and design of corpus has a major impact on the evaluation of term recognition algorithms. Our experiments also showed that single-word terms can be equally important and occupy a fairly large proportion in certain domains. As a result, algorithms that ignore single-word terms may cause problems to tasks built on top of ATR. Effective ATR systems also need to take into account both the unstructured text and the structured aspects and this means information extraction techniques need to be integrated into the term recognition process.

Political representation in France: a crisis of democracy?

The past two decades have witnessed growing political disaffection and a widening mass/elite disjuncture in France, reflected in opinion polls, rising abstentionism, electoral volatility and fragmentation, with sustained voting against incumbent governments. Though the electoral system has preserved the duopoly of the mainstream coalitions, they have suffered loss of public confidence and swings in electoral support. Stable parliamentary majorities conceal a political landscape of assorted anti-system parties and growing support for far right and far left. The picture is paradoxical: the French express alienation from political parties yet relate positively to their political institutions; they berate national politicians but retain strong bonds with those elected locally; they appear increasingly disengaged from politics yet forms of ‘direct democracy’ are finding new vigour. While the electoral, attitudinal and systemic factors reviewed here may not signal a crisis of democracy, they point to serious problems of political representation in contemporary France.

Aggregating preference ranking with fuzzy Data Envelopment Analysis

Selecting the best alternative in a group decision making is a subject of many recent studies. The most popular method proposed for ranking the alternatives is based on the distance of each alternative to the ideal alternative. The ideal alternative may never exist; hence the ranking results are biased to the ideal point. The main aim in this study is to calculate a fuzzy ideal point that is more realistic to the crisp ideal point. On the other hand, recently Data Envelopment Analysis (DEA) is used to find the optimum weights for ranking the alternatives. This paper proposes a four stage approach based on DEA in the Fuzzy environment to aggregate preference rankings. An application of preferential voting system shows how the new model can be applied to rank a set of alternatives. Other two examples indicate the priority of the proposed method compared to the some other suggested methods.

How weak categorizers based upon different principles strengthen performance

Combining the results of classifiers has shown much promise in machine learning generally. However, published work on combining text categorizers suggests that, for this particular application, improvements in performance are hard to attain. Explorative research using a simple voting system is presented and discussed in the light of a probabilistic model that was originally developed for safety critical software. It was found that typical categorization approaches produce predictions which are too similar for combining them to be effective since they tend to fail on the same records. Further experiments using two less orthodox categorizers are also presented which suggest that combining text categorizers can be successful, provided the essential element of ‘difference’ is considered.