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Articles 1 - 8 of 8
Full-Text Articles in Social Statistics
Reducing Food Scarcity: The Benefits Of Urban Farming, S.A. Claudell, Emilio Mejia
Reducing Food Scarcity: The Benefits Of Urban Farming, S.A. Claudell, Emilio Mejia
Journal of Nonprofit Innovation
Urban farming can enhance the lives of communities and help reduce food scarcity. This paper presents a conceptual prototype of an efficient urban farming community that can be scaled for a single apartment building or an entire community across all global geoeconomics regions, including densely populated cities and rural, developing towns and communities. When deployed in coordination with smart crop choices, local farm support, and efficient transportation then the result isn’t just sustainability, but also increasing fresh produce accessibility, optimizing nutritional value, eliminating the use of ‘forever chemicals’, reducing transportation costs, and fostering global environmental benefits.
Imagine Doris, who is …
The Psychometric Evaluation Of Decent Work In India, Jadvir K. Gill
The Psychometric Evaluation Of Decent Work In India, Jadvir K. Gill
Industrial-Organizational Psychology Dissertations
Work has a high impact on an individual’s well-being, health, and the lives of their loved ones who depend on them (Ford et al., 2013). The Decent Work Scale, constructed by Duffy et. al. (2017), measures what it means to have access to decent work (safe conditions, time for leisure and rest, support for family and social values, adequate compensation, and access to adequate health care) in the United States. However, a gap in the social sciences is the lack of external validity. Psychological research has mainly focused its attention on western, educated, industrialized, rich, and democratic nations and then …
A Comparative Analysis Of Bohemian And Irish Immigration During The Antebellum Period, Emily Suchan
A Comparative Analysis Of Bohemian And Irish Immigration During The Antebellum Period, Emily Suchan
Honors Projects
Compare and Contrast the immigration experience of an Irish and Bohemian (Czech) immigrant. This essay describes the history of both regions and analyzes the political and economic stressors for immigration during the second half of the nineteenth century. This essay specifically follows the Irish Famine immigrants and the Czechs who settled in Cleveland, OH
Applying The Data: Predictive Analytics In Sport, Anthony Teeter, Margo Bergman
Applying The Data: Predictive Analytics In Sport, Anthony Teeter, Margo Bergman
Access*: Interdisciplinary Journal of Student Research and Scholarship
The history of wagering predictions and their impact on wide reaching disciplines such as statistics and economics dates to at least the 1700’s, if not before. Predicting the outcomes of sports is a multibillion-dollar business that capitalizes on these tools but is in constant development with the addition of big data analytics methods. Sportsline.com, a popular website for fantasy sports leagues, provides odds predictions in multiple sports, produces proprietary computer models of both winning and losing teams, and provides specific point estimates. To test likely candidates for inclusion in these prediction algorithms, the authors developed a computer model, and test …
Public Policy Origins Of U.S. Data, Bert Chapman
Public Policy Origins Of U.S. Data, Bert Chapman
Libraries Faculty and Staff Presentations
Provides detailed introduction and overview of public policy origins of U.S. data. Shows how congressional legislation and Office of Management and Budget documents influence compilation and dissemination of U.S. Government data. Stresses how Indiana General Assembly requirements influence compilation of Indiana state agency data and Indiana local government agency data. Places emphasis on roles played in data compilation and dissemination by public policy research institutions/think tanks. Concludes by stressing limitations of data collection by governmental and non-governmental entities.
Social Justice, Numeracy, And Teaching Statistics At A Community College, Edward Volchok
Social Justice, Numeracy, And Teaching Statistics At A Community College, Edward Volchok
Numeracy
The author of this article reflects on the issues of justice, democracy, and numeracy. As one who has taught statistics in a community college for over 12 years, spent 28 years as a Marketing Consultant, and holds a PhD in political science, the author’s thesis is that while an advanced, democratic society can only be just with a numerate citizenry, fostering numeracy is not easy. In this article the author describes the daunting tasks of trying to define what justice is and reviews activities from his statistics class that help students develop their numeracy.
Perfil Del Comprador Y Percepción Respecto A Las Frutas Y Hortalizas Que Se Ofrecen En Los Mercados Campesinos De Plaza De Los Artesanos Y Parque De Alcalá En La Ciudad De Bogotá, César David Aranda Quimbaya
Perfil Del Comprador Y Percepción Respecto A Las Frutas Y Hortalizas Que Se Ofrecen En Los Mercados Campesinos De Plaza De Los Artesanos Y Parque De Alcalá En La Ciudad De Bogotá, César David Aranda Quimbaya
Administración de Agronegocios
Los mercados campesinos constituyen una alternativa para la venta de los productos de pequeños productores, y la compra de alimentos más sanos. En Bogotá, los mercados campesinos son una estrategia, dentro de la política de seguridad alimentaria, necesaria por su aporte a los productores y consumidores. El presente trabajo, tiene como objetivo establecer, en dos de los mercados campesinos realizados en Bogotá por la Secretaría Distrital de Desarrollo Económico, representativos por su valor de ventas, Plaza de los Artesanos y Parque de Alcalá, el perfil del comprador así como sus percepciones respecto a las frutas y hortalizas, grupo que corresponde …
Yelp’S Review Filtering Algorithm, Yao Yao, Ivelin Angelov, Jack Rasmus-Vorrath, Mooyoung Lee, Daniel W. Engels
Yelp’S Review Filtering Algorithm, Yao Yao, Ivelin Angelov, Jack Rasmus-Vorrath, Mooyoung Lee, Daniel W. Engels
SMU Data Science Review
In this paper, we present an analysis of features influencing Yelp's proprietary review filtering algorithm. Classifying or misclassifying reviews as recommended or non-recommended affects average ratings, consumer decisions, and ultimately, business revenue. Our analysis involves systematically sampling and scraping Yelp restaurant reviews. Features are extracted from review metadata and engineered from metrics and scores generated using text classifiers and sentiment analysis. The coefficients of a multivariate logistic regression model were interpreted as quantifications of the relative importance of features in classifying reviews as recommended or non-recommended. The model classified review recommendations with an accuracy of 78%. We found that reviews …