По ту сторону тоталитаризма: советское как форма социальности в исследовательской программе Н. Н. Козловой
Formation of democratic societies of the Western type presupposes appearance on the historical scene of a new strong actor - the bourgeois class: "No bourgeoisie, no democracy" (Barrington Moore). The articulation and defense of vital interests of that class creates a new social space - "the bourgeois public sphere" which helps to make up "counterbalance" to absolutism of a corporate state - a civil society, the core of which is composed by public opinion. In the confrontation between the authorities and society one of the most important roles is played by the press that provides free debate and discussion of generally valid problems, especially economic and political. The recognition of the mass media role was stamped in its characterization in XIII century as "the fourth power". Technological development of the media incredibly expanded its functions, turning journalists into creating informational analogue of reality, saturating daily life with new meanings. Methods of the representation of reality, the specific nature of political influence of journalists - key members of the reflexive elites (Helmut Shelski), are the themes of this article.
Публичная сфера, журналистика, четвертая власть, порядки знания, Повседневность, научное и повседневное знание, экспертиза, Репрезентация, public sphere, journalism, fourth estate, orders of knowledge, Everyday life, scientific and everyday knowledge, Expertise, representation
We address the external effects on public sector efficiency measures acquired using Data Envelopment Analysis. We use the health care system in Russian regions in 2011 to evaluate modern approaches to accounting for external effects. We propose a promising method of correcting DEA efficiency measures. Despite the multiple advantages DEA offers, the usage of this approach carries with it a number of methodological difficulties. Accounting for multiple factors of efficiency calls for more complex methods, among which the most promising are DMU clustering and calculating local production possibility frontiers. Using regression models for estimate correction requires further study due to possible systematic errors during estimation. A mixture of data correction and DMU clustering together with multi-stage DEA seems most promising at the moment. Analyzing several stages of transforming society’s resources into social welfare will allow for picking out the weak points in a state agency’s work.