Empirical translation studies is a rapidly evolving research area. This volume, written by world-leading researchers, demonstrates the integration of two new research paradigms: socially-oriented and data driven approaches to empirical translation studies. These two models expand current translation studies and stimulate reader debates around how development of quantitative research methods and integration with advances in translation technologies would significantly increase the research capacities of translation studies. Highly engaging, the volume pioneers the development of socially-oriented innovative research methods to enhance the current research capacities of theoretical (descriptive) translation studies in order to tackle real-life research issues, such as environmental protection and multicultural health promotion. Illustrative case studies are used, bringing insight into advanced research methodologies of designing, developing and analysing large scale digital databases for multilingual and/or translation research.

This book introduces the latest advances in Corpus-Based Translation Studies (CBTS), a thriving subfield of Translation Studies which forms an important part of both translator training and empirical translation research. Largely empirical and exploratory, a distinctive feature of CBTS is the development and exploration of quantitative linguistic data in search of useful patterns of variation and change in translation. With the introduction of textual statistics to Translation Studies, CBTS has geared towards a new research direction that is more systematic in the identification of translation patterns; and more explanatory of any linguistic variations identified in translations. The book traces the advances from the advent of language corpora in translation studies, to the new textual dimensions and shift towards a probability-variation model. Such advances made in CBTS have enabled in-depth analyses of translation by establishing useful links between a translation and the social and cultural context in which the translation is produced, circulated and consumed.

Bad Foods demonstrates how a variety of historical or political events and personalities have shaped our current views of good nutrition. On several occasions in American history concerns have arisen over the safety of our food supply (e.g., harmful ingredients in processed foods) and the potential that processing might deplete foods of their nutrients. These concerns help explain how food characteristics such as freshness, natural, organic, and unprocessed have become important to Americans. Bad Foods traces how the food nutrients fat, salt, and sugar have acquired negative reputations for health as well as any controversies and outright misconceptions of the dangers of these nutrients. Bad Foods also explores confusion that can in part be attributed to biased media coverage about foods. Modern Americans are routinely bombarded with information about the health value of certain foods and the dangers of others. Frequently, health information about certain nutrients receives exaggerated coverage (e.g., dietary fat) while the importance of other nutrients gets ignored (e.g., vitamins and minerals). Moreover, health information about foods is often perceived as contradictory. While some readers may be startled by what they perceive to be a challenge to sacred beliefs about foods, others will see the honesty in both the research and the writing and recognize the social benefits of examining our beliefs about foods. Bad Foods will be of interest to sociologists, food science specialists, and social historians.

Bad Foods demonstrates how a variety of historical or political events and personalities have shaped our current views of good nutrition. On several occasions in American history concerns have arisen over the safety of our food supply (e.g., harmful ingredients in processed foods) and the potential that processing might deplete foods of their nutrients. These concerns help explain how food characteristics such as freshness, natural, organic, and unprocessed have become important to Americans. "Bad Foods" traces how the food nutrients fat, salt, and sugar have acquired negative reputations for health as well as any controversies and outright misconceptions of the dangers of these nutrients. "Bad Foods" also explores confusion that can in part be attributed to biased media coverage about foods. Modern Americans are routinely bombarded with information about the health value of certain foods and the dangers of others. Frequently, health information about certain nutrients receives exaggerated coverage (e.g., dietary fat) while the importance of other nutrients gets ignored (e.g., vitamins and minerals). Moreover, health information about foods is often perceived as contradictory. While some readers may be startled by what they perceive to be a challenge to sacred beliefs about foods, others will see the honesty in both the research and the writing and recognize the social benefits of examining our beliefs about foods. "Bad Foods" will be of interest to sociologists, food science specialists, and social historians.

Empirical translation studies is a rapidly evolving research area. This volume, written by world-leading researchers, demonstrates the integration of two new research paradigms: socially-oriented and data driven approaches to empirical translation studies. These two models expand current translation studies and stimulate reader debates around how development of quantitative research methods and integration with advances in translation technologies would significantly increase the research capacities of translation studies. Highly engaging, the volume pioneers the development of socially-oriented innovative research methods to enhance the current research capacities of theoretical (descriptive) translation studies in order to tackle real-life research issues, such as environmental protection and multicultural health promotion. Illustrative case studies are used, bringing insight into advanced research methodologies of designing, developing and analysing large scale digital databases for multilingual and/or translation research.

A thorough, practical reference on the social patterns behind health outcomes Methods in Social Epidemiology provides students and professionals with a comprehensive reference for studying the social distribution and social determinants of health. Covering the theory, models, and methods used to measure and analyze these phenomena, this book serves as both an introduction to the field and a practical manual for data collection and analysis. This new second edition has been updated to reflect the field's tremendous growth in recent years, including advancements in statistical modeling and study designs. New chapters delve into genetic methods, structural cofounding, selection bias, network methods, and more, including new discussion on qualitative data collection with disadvantaged populations. Social epidemiology studies the way society's innumerable social interactions, both past and present, yields different exposures and health outcomes between individuals within populations. This book provides a thorough, detailed overview of the field, with expert guidance toward the real-world methods that fuel the latest advances. Identify, measure, and track health patterns in the population Discover how poverty, race, and socioeconomic factors become risk factors for disease Learn qualitative data collection techniques and methods of statistical analysis Examine up-to-date models, theory, and frameworks in the social epidemiology sphere As the field continues to evolve, researchers continue to identify new disease-specific risk factors and learn more about how the social system promotes and maintains well-known exposure disparities. New technology in data science and genomics allows for more rigorous investigation and analysis, while the general thinking in the field has become more targeted and attentive to causal inference and core assumptions behind effect identification. It's an exciting time to be a part of the field, and Methods in Social Epidemiology provides a solid reference for any student, researcher, or faculty in public health.

This book in the Edinburgh Textbooks in Empirical Linguistics series is a comprehensive introduction to the statistics currently used in corpus linguistics. Statistical techniques and corpus applications - whether oriented towards linguistics or language engineering - often go hand in glove, and corpus linguists have used an increasingly wide variety of statistics, drawing on techniques developed in a great many fields. This is the first one-volume introduction to the subject.