More Money, Fewer Problems? Cross-Level Effects of Economic Deprivation on Political Representation

While equal political representation of all citizens is a fundamental democratic goal, it is hampered empirically in a multitude of ways. This study examines how the societal level of economic inequality affects the representation of relatively poor citizens by parties and governments. Using CSES survey data for citizens' policy preferences and expert placements of political parties, empirical evidence is found that in economically more unequal societies, the party system represents the preferences of relatively poor citizens worse than in more equal societies. This moderating effect of economic equality is also found for policy congruence between citizens and governments, albeit slightly less clear-cut.

The Sanskrit epics' representation of Vedic myths

Abstract: This book studies several mythical motifs, found in the Veda (especially in the Ùgveda) on the one hand and in one or both Sanskrit epics on the other: Agni's hiding, the theft of the Soma, Indra's rape of Ahalyå, Upamanyu's salvation by the Aßvins, and finally the representation of the Great War of the Mahåbhårata as a sacrifice. While it is often said that the subsequent Indian literature only paid "lipservice" to the Vedas without really knowing and even less understanding these texts, the present study not only shows that many Vedic myths are still kept alive in the Epics, but more importantly that their deep underlying meaning was perfectly understood by the epic mythmakers, and reactualized to fit the changed religious conditions of epic times. Résumé: Descriptif du livre Ce livre étudie plusieur motifs mythologiques qui se trouvent à la fois dans les Vedas (et spécialement dans le Ùgveda), et dans l'une ou l'autre des grandes épopées sanskrites, le Mahåbhårata et le Råmåyana. Ces motifs sont: la disparition d'Agni, le rapt du Soma, le viol d'Ahalyå par Indra, le sauvetage d'Upamanyu par les Aßvins, et enfin, la représentation de la grande guerre du Mahåbhårata comme un rite sacrificiel. On maintient souvent que la littérature plus tardive ne fait référence aux Vedas que pour la forme, sans pour autant réellement connaître et encore moins comprendre ces textes. Mais la présente étude montre tout au contraire que non seulement beaucoup de mythes védiques se retrouvent dans les épopées, mais encore ? ce qui est plus important ? que les mythographes de l'épopée avaient parfaitement compris leur sens profond, et l'avaient réactualisé pour répondre aux changements religieux de l'époque épique.

Representation of Sound Objects within Early-Stage Auditory Areas: A Repetition Effect Study Using 7T fMRI.

Environmental sounds are highly complex stimuli whose recognition depends on the interaction of top-down and bottom-up processes in the brain. Their semantic representations were shown to yield repetition suppression effects, i. e. a decrease in activity during exposure to a sound that is perceived as belonging to the same source as a preceding sound. Making use of the high spatial resolution of 7T fMRI we have investigated the representations of sound objects within early-stage auditory areas on the supratemporal plane. The primary auditory cortex was identified by means of tonotopic mapping and the non-primary areas by comparison with previous histological studies. Repeated presentations of different exemplars of the same sound source, as compared to the presentation of different sound sources, yielded significant repetition suppression effects within a subset of early-stage areas. This effect was found within the right hemisphere in primary areas A1 and R as well as two non-primary areas on the antero-medial part of the planum temporale, and within the left hemisphere in A1 and a non-primary area on the medial part of Heschl's gyrus. Thus, several, but not all early-stage auditory areas encode the meaning of environmental sounds.

Mind the Gap. Do Proportional Electoral Systems Foster a More Equal Representation of Women and Men, Poor and Rich ?

Female gender and low income are two markers for groups that have been historically disadvantaged within most societies. The study explores two research questions related to their political representation: 1) Are parties ideologically biased towards the ideological preferences of male and rich citizens? 2) Does the proportionality of the electoral system moderate the degree of underrepresentation of women and poor citizens in the party system? A multilevel analysis of survey data from 24 parliamentary democracies indicates that there is some bias against those with low income and, at a much smaller rate, women. This has systemic consequences for the quality of representation, as the preferences of the complementary groups differ. The proportionality of the electoral system influences the degree of underrepresentation: specifically, larger district magnitudes help closing the considerable gap between rich and poor.

Change points detection in crime-related time series: an on-line fuzzy approach based on a shape space representation

The extension of traditional data mining methods to time series has been effectively applied to a wide range of domains such as finance, econometrics, biology, security, and medicine. Many existing mining methods deal with the task of change points detection, but very few provide a flexible approach. Querying specific change points with linguistic variables is particularly useful in crime analysis, where intuitive, understandable, and appropriate detection of changes can significantly improve the allocation of resources for timely and concise operations. In this paper, we propose an on-line method for detecting and querying change points in crime-related time series with the use of a meaningful representation and a fuzzy inference system. Change points detection is based on a shape space representation, and linguistic terms describing geometric properties of the change points are used to express queries, offering the advantage of intuitiveness and flexibility. An empirical evaluation is first conducted on a crime data set to confirm the validity of the proposed method and then on a financial data set to test its general applicability. A comparison to a similar change-point detection algorithm and a sensitivity analysis are also conducted. Results show that the method is able to accurately detect change points at very low computational costs. More broadly, the detection of specific change points within time series of virtually any domain is made more intuitive and more understandable, even for experts not related to data mining.