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This chapter explores the presentation of women's violence in Tamil mega serials. Tamil mega serials are produced in India and aired six days a week on satellite television channels. The story revolves around households with extended families living together and issues affecting women such as family well-being, motherhood and fertility. Women mostly take the role of the main protagonist and antagonist in Tamil serials. This chapter analyses the presentation of violence in 10 episodes of Chandralekha, a Tamil mega serial. Perpetrators of violence in Tamil serials are mainly female antagonists and other characters supporting the antagonists. The rivalry between the protagonist and antagonist centres around the struggle for property or the love of or marriage with a man. The type of violence ranges from mild to severe kinds of physical violence, and non-physical violence. The presentation of violence in Tamil serials reflects gender inequality in society. The meaning of some forms of violence in mega serials is closely related to the traditional gender roles and notion of traditional femininity in society.

Purpose – Uses Kenneth Boulding's concept of “serial reciprocity” in conjunction with information about the evolution of emotions and social exchange processes to identify possible mechanisms that can help explain the rise of early Christianity.

Design/methodology/approach – Using the concept of serial reciprocity as a central organizing principle, a theoretical account is developed that integrates ideas from evolutionary sociology, the sociology of emotions, and exchange theory in order to extend Rodney Stark's analysis of social forces responsible for the success of early Christianity as a social movement.

Findings – Patterns of serial reciprocity may develop when evolved emotions such as gratitude, sympathy, and empathy are activated by recipients of altruism who, in turn, become motivated to repay their benefactor by transmitting a benefit to a third-party recipient. Historical evidence reviewed by Stark is consistent with the claim that serial reciprocity may have conferred benefits to victims suffering from plagues that swept the Roman Empire during the early history of Christianity. Similar processes may be operating today in regions of the world in which aid workers provide assistance to victims of natural and man-made disasters.

Originality/value – This analysis demonstrates the value of integrating conventional sociological analysis and evolutionary theory to gain new explanatory insights about social processes such as serial reciprocity that have received relatively little prior attention by sociological researchers.

Stated choice experiments can be used to estimate the parameters in discrete choice models by showing hypothetical choice situations to respondents. These attribute levels in each choice situation are determined by an underlying experimental design. Often, an orthogonal design is used, although recent studies have shown that better experimental designs exist, such as efficient designs. These designs provide more reliable parameter estimates. However, they require prior information about the parameter values, which is often not readily available. Serial efficient designs are proposed in this paper in which the design is updated during the survey. In contrast to adaptive conjoint, serial conjoint only changes the design across respondents, not within-respondent thereby avoiding endogeneity bias as much as possible. After each respondent, new parameters are estimated and used as priors for generating a new efficient design. Results using the multinomial logit model show that using such a serial design, using zero initial prior values, provides the same reliability of the parameter estimates as the best efficient design (based on the true parameters). Any possible bias can be avoided by using an orthogonal design for the first few respondents. Serial designs do not suffer from misspecification of the priors as they are continuously updated. The disadvantage is the extra implementation cost of an automated parameter estimation and design generation procedure in the survey. Also, the respondents have to be surveyed in mostly serial fashion instead of all parallel.

The study seeks to introduce a new media model that (1) clearly illustrates the role of mass media in the transmission of cultural messages, and (2) helps to explain variations in the reception and employment of cultural messages by members of the same culture.

Drawing on decades of theorizing in cultural sociology and communication studies, as well as data from two qualitative content analyses, a new model was developed, explained, and then applied to a specific cultural phenomenon.

Mass media are significant transmitters of cultural messages and play an influential role in shaping culture, yet the process is complex. There is great variety in what messages are accepted by different consumers, how they are interpreted, and how they ultimately are employed (or not). Further, cultures that include contradictory messages are more likely to inadvertently promote deviant paths to culturally valued goals.

First, the model only addresses one dimension of the relationship between mass media and culture; it does not explain cultural influences on mass media. Second, the model does not specifically address recent changes in the media landscape, though an accommodation is suggested. Finally, the model needs additional testing before its utility can be reasonably determined.

First, a new model is introduced that clearly illustrates the complex process by which cultural messages are transmitted to receivers via mass media. Second, the model introduces the concept of “cultural capacity” to complement existing concepts and advance understanding of the operation of culture.

Demographic and health surveys in the Philippines have shown a rise in cohabitation among young people. This chapter aims to provide an in-depth sociological understanding of a more specific phenomenon called serial cohabitation – referring to the dissolution of current cohabitation and entering a new one, and the continuation of the cycle if the new one ends again. By developing the framework of undisplaying and re-displaying family from Janet Finch’s displaying family, this study posits that serial cohabiters experience a cycle of wanting to display an ideal family and having to undisplay every time the dissolution of the cohabiting relationship happens. This study demonstrates how serial cohabiters with children, in response to social stigma, exhibit resiliency toward stepfamily formation and committed sexual relationships. This chapter, therefore, conceptualizes “family acceptance” which refers to embracing the fluidity, reconfigurations, and “imperfections” of their newly formed family and “community acceptance” which covers the same affirmation from friends, neighbors, and extended relatives who are considered as relevant others by serial cohabiters. Family acceptance comes in three forms: first is the acceptance of/by children, second is the acceptance by the parents to the repeated stepfamily formation within their own homes, and third is the acceptance of the woman herself to the possibility that cohabitation is the “happy ever after.” This study argues that once these forms are achieved, serial cohabiters become more capable of undisplaying their previous family and displaying their new family.

This chapter examines factors that cause violations of regularity conditions and biases in estimates of substitution. In the context of the Fourier demand system, failing to impose curvature restrictions but correcting for serial correlation results in few violations of the curvature conditions. In contrast, imposing curvature restrictions without correcting for serial correlation biases substitution estimates and can cause violations of monotonicity. For serially correlated data, results suggest that correcting for serial correlation may be more important than imposing curvature. Furthermore, the artificially break-adjusted data that are inconsistent with consumer optimization can severely bias estimates. Results from the Bank of England's (BOE) preferred non-break-adjusted data establish that money and goods are substitutes in demand.

Over the last ten years, researchers have increasingly focused on the pursuit of opportunity as one of the central acts of entrepreneurship. This chapter proposes a model of opportunity recognition which emphasizes the process through which entrepreneurs interact with their social contexts to develop opportunities, that is, to develop and shape ideas into attractive opportunities. The central research question is “how does an individual use his or her social context to recognize opportunity?” The question can be re-phrased in two parts, highlighting the two sides of the influence process. First, how do the people around the individual affect both the entrepreneurial thinking process and the opportunity ideas? And second, how does the individual structure his or her social context and use the people surrounding him or her for recognizing and pursuing opportunities?

The authors present analysis of journal evaluations in creating a customized serials collection specific to veterinary medicine. Readers may apply techniques used for the veterinary medicine library to their own subject specific collections.

A review of research in journal evaluations and collection assessment was conducted with emphasis on veterinary medicine. This chapter provides a detailed critique of research on journal evaluations for academic libraries as well as the authors’ customized approach in creating a subject specific core journal list for a veterinary medicine library.

By utilizing the current research in evaluating library journal collections, librarians can customize their own approach to create core journal lists specific to the academic departments they serve, allowing for a more effective serials collection.

Collection assessment and development differs according to user groups based on local needs. Librarians can develop collection development plans specific to their subject areas by using national standards along with local qualitative and quantitative data.