Социология
Различные книги в жанре СоциологияThe Hollywood Jim Crow
The story of racial hierarchy in the American film industry The #OscarsSoWhite campaign, and the content of the leaked Sony emails which revealed, among many other things, that a powerful Hollywood insider didn’t believe that Denzel Washington could “open” a western genre film, provide glaring evidence that the opportunities for people of color in Hollywood are limited. In The Hollywood Jim Crow , Maryann Erigha tells the story of inequality, looking at the practices and biases that limit the production and circulation of movies directed by racial minorities. She examines over 1,300 contemporary films, specifically focusing on directors, to show the key elements at work in maintaining “the Hollywood Jim Crow.” Unlike the Jim Crow era where ideas about innate racial inferiority and superiority were the grounds for segregation, Hollywood’s version tries to use economic and cultural explanations to justify the underrepresentation and stigmatization of Black filmmakers. Erigha exposes the key elements at work in maintaining Hollywood’s racial hierarchy, namely the relationship between genre and race, the ghettoization of Black directors to black films, and how Blackness is perceived by the Hollywood producers and studios who decide what gets made and who gets to make it. Erigha questions the notion that increased representation of African Americans behind the camera is the sole answer to the racial inequality gap. Instead, she suggests focusing on the obstacles to integration for African American film directors. Hollywood movies have an expansive reach and exert tremendous power in the national and global production, distribution, and exhibition of popular culture. The Hollywood Jim Crow fully dissects the racial inequality embedded in this industry, looking at alternative ways for African Americans to find success in Hollywood and suggesting how they can band together to forge their own career paths.
The Gay Marriage Generation
The generational and social thinking changes that caused an unprecedented shift toward support for gay marriage How did gay marriage—something unimaginable two decades ago—come to feel inevitable to even its staunchest opponents? Drawing on over 95 interviews with two generations of Americans, as well as historical analysis and public opinion data, Peter Hart-Brinson argues that a fundamental shift in our understanding of homosexuality sparked the generational change that fueled gay marriage’s unprecedented rise. Hart-Brinson shows that the LGBTQ movement’s evolution and tactical responses to oppression caused Americans to reimagine what it means to be gay and what gay marriage would mean to society at large. While older generations grew up imagining gays and lesbians in terms of their behavior, younger generations came to understand them in terms of their identity. Over time, as the older generation and their ideas slowly passed away, they were replaced by a new generational culture that brought gay marriage to all fifty states.Through revealing interviews, Hart-Brinson explores how different age groups embrace, resist, and create society’s changing ideas about gay marriage. Religion, race, contact with gay people, and the power of love are all topics that weave in and out of these fascinating accounts, sometimes influencing opinions in surprising ways. The book captures a wide range of voices from diverse social backgrounds at a critical moment in the culture wars, right before the turn of the tide. The story of gay marriage’s rapid ascent offers profound insights about how the continuous remaking of the population through birth and death, mixed with our personal, biographical experiences of our shared history and culture, produces a society that is continually in flux and constantly reinventing itself anew.An intimate portrait of social change with national implications, The Gay Marriage Generation is a significant contribution to our understanding of what causes generational change and how gay marriage became the reality in the United States.
Taking Back the Boulevard
The promises and conflicts faced by public figures, artists, and leaders of Northeast Los Angeles as they enliven and defend their neighborhoods Los Angeles is well known as a sprawling metropolis with endless freeways that can make the city feel isolating and separate its communities. Yet in the past decade, as Jan Lin argues in Taking Back the Boulevard, there has been a noticeable renewal of public life on several of the city’s iconic boulevards, including Atlantic, Crenshaw, Lankershim, Sunset, Western, and Wilshire. These arteries connect neighborhoods across the city, traverse socioeconomic divides and ethnic enclaves, and can be understood as the true locational heart of public life in the metropolis. Focusing especially on the cultural scene of Northeast Los Angeles, Lin shows how these gentrifying communities help satisfy a white middle-class consumer demand for authentic experiences of “living on the edge” and a spirit of cultural rebellion. These neighborhoods have gone through several stages, from streetcar suburbs, to disinvested neighborhoods with the construction of freeways and white flight, to immigrant enclaves, to the home of Chicano/a artists in the 1970s. Those artists were then followed by non-Chicano/a, white artists, who were later threatened with displacement by gentrifiers attracted by the neighborhoods’ culture, street life, and green amenities that earlier inhabitants had worked to create. Lin argues that gentrification is not a single transition, but a series of changes that disinvest and re-invest neighborhoods with financial and cultural capital. Drawing on community survey research, interviews with community residents and leaders, and ethnographic observation, this book argues that the revitalization in Northeast LA by arts leaders and neighborhood activists marks a departure in the political culture from the older civic engagement to more socially progressive coalition work involving preservationists, environmentalists, citizen protestors, and arts organizers. Finally, Lin explores how accelerated gentrification and mass displacement of Latino/a and working-class households in the 2010s has sparked new rounds of activism as the community grapples with new class conflicts and racial divides in the struggle to self-determine its future.
The Feminist and The Sex Offender
With analytical clarity and narrative force, The Feminist and the Sex Offender contends with two problems that are typically siloed in the era of #MeToo and mass incarceration: sexual and gender violence, on the one hand, and the state’s unjust, ineffective, and soul-destroying response to it on the other. Is it possible to confront the culture of abuse? Is it possible to hold harm-doers accountable without recourse to a criminal justice system that redoubles injuries, fails survivors, and retrenches the conditions that made such abuse possible? Drawing on interviews, extensive research, reportage, and history, The Feminist and the Sex Offender develops an intersectional feminist approach to ending sexual violence. It maps with considerable detail the unjust sex offender regime while highlighting the alternatives we urgently need.
Social Network Analysis
David Knoke and Song Yang's <strong>Social Network Analysis, Third Edition</strong> <span>provides a concise introduction to the concepts and tools of social network analysis. The authors convey key material while at the same time minimizing technical complexities. The examples are simple: sets of 5 or 6 entities such as individuals, positions in a hierarchy, political offices, and nation-states, and the relations between them include friendship, communication, supervision, donations, and trade. The new edition</span> reflects developments and changes in practice over the past decade. The authors also describe important recent developments in network analysis, especially in the fifth chapter. Exponential random graph models (ERGMs) are a prime example: when the second edition was published, P* models were the recommended approach for this, but they have been replaced by ERGMs. Finally, throughout the volume, the authors comment on the challenges and opportunities offered by internet and social media data.
Multidimensional Item Response Theory
Several decades of psychometric research have led to the development of sophisticated models for multidimensional test data, and in recent years, multidimensional item response theory (MIRT) has become a burgeoning topic in psychological and educational measurement. Considered a cutting-edge statistical technique, the methodology underlying MIRT can be complex, and therefore doesn’t receive much attention in introductory IRT courses. However author Wes Bonifay shows how MIRT can be understood and applied by anyone with a firm grounding in unidimensional IRT modeling. His volume includes practical examples and illustrations, along with numerous figures and diagrams. Multidimensional Item Response Theory includes snippets of R code interspersed throughout the text (with the complete R code included on an accompanying website) to guide readers in exploring MIRT models, estimating the model parameters, generating plots, and implementing the various procedures and applications discussed throughout the book.
Agent-Based Models
Agent-based simulation has become increasingly popular as a modeling approach in the social sciences because it enables researchers to build models where individual entities and their interactions are directly represented. The Second Edition of Nigel Gilbert's Agent-Based Models introduces this technique; considers a range of methodological and theoretical issues; shows how to design an agent-based model, with a simple example; offers some practical advice about developing, verifying and validating agent-based models; and finally discusses how to plan an agent-based modelling project, publish the results and apply agent-based modeling to formulate and evaluate social and economic policies. A website to accompany the book includes an annotated exemplar model using NetLogo .
Experimental Evaluation Design for Program Improvement
The concepts of cause and effect are critical to the field of program evaluation. Experimentally-designed evaluations—those that randomize to treatment and control groups—offer a convincing means for establishing a causal connection between a program and its effects. Experimental Evaluation Design for Program Improvement considers a range of impact evaluation questions, particularly those questions that focus on the impact of specific aspects of a program. Laura R. Peck shows how a variety of experimental evaluation design options can provide answers to these questions, and she suggests opportunities for experiments to be applied in more varied settings and focused on program improvement efforts.
Exploratory Factor Analysis
A firm knowledge of factor analysis is key to understanding much published research in the social and behavioral sciences. Exploratory Factor Analysis by W. Holmes Finch provides a solid foundation in exploratory factor analysis (EFA), which along with confirmatory factor analysis, represents one of the two major strands in this field. The book lays out the mathematical foundations of EFA; explores the range of methods for extracting the initial factor structure; explains factor rotation; and outlines the methods for determining the number of factors to retain in EFA. The concluding chapter addresses a number of other key issues in EFA, such as determining the appropriate sample size for a given research problem, and the handling of missing data. It also offers brief introductions to exploratory structural equation modeling, and multilevel models for EFA. Example computer code, and the annotated output for all of the examples included in the text are available on an accompanying website.
Generalized Linear Models for Bounded and Limited Quantitative Variables
This book introduces researchers and students to the concepts and generalized linear models for analyzing quantitative random variables that have one or more bounds. Examples of bounded variables include the percentage of a population eligible to vote (bounded from 0 to 100), or reaction time in milliseconds (bounded below by 0) . The human sciences deal in many variables that are bounded. Ignoring bounds can result in misestimation and improper statistical inference. Michael Smithson and Yiyun Shou's book brings together material on the analysis of limited and bounded variables that is scattered across the literature in several disciplines, and presents it in a style that is both more accessible and up-to-date. The authors provide worked examples in each chapter using real datasets from a variety of disciplines. The software used for the examples include R, SAS, and Stata. The data, software code, and detailed explanations of the example models are available on an accompanying website.