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When city-dwelling journalist Kiera Butler visits a county fair for the first time, she is captivated by the white-uniformed members of the 4-H club and their perfectly groomed animals. She sets off on a search for a “real” 4-H’er, a hypothetical wholesome youth whom she imagines wearing cowboy boots and living on a ranch. Along the way, she meets five teenage 4-H’ers from diverse backgrounds and gets to know them as they prepare to compete at the fair. Butler’s on-the-ground account of the teens’ concerns with their goats, pigs, sheep, proms, and SAT scores is interwoven with a fascinating history of the century-old 4-H club as it solicits corporate donations from top agribusiness firms such as DuPont, Monsanto, and Cargill. Her quest takes her from California’s cities and suburbs all the way to Ghana, where she investigates 4-H’s unprecedented push to expand its programs in the developing world—and the corporate partnership that is supporting this expansion. Raise masterfully combines vivid accounts from a little-known subculture with a broader analysis of agriculture education today, using 4-H as a lens through which to view the changing landscape of farming in America and the rest of the world. Lively, deeply informed, and perceptive in its analysis, Raise provides answers to complex questions about our collective concern over the future of food. Photographs by Rafael Roy.
Gabriel N. Rosenberg argues that public acceptance of the political economy of agribusiness hinged on federal efforts to normalize rural heterosexuality.
Record monthly, quarterly, and annual summaries for up to 24 classes. Also includes staff roster, record of supplies and expenses. Size: 8" x 9.5" 40 pages
This student manual provides in-depth information on what youth can expect when working on a farm, safety basics, agricultural hazards, how to operate a tractor, and how to handle materials, among other important topics. This latest edition features updated regulations, vibrant and detailed illustrations and photos, and an improved user-friendly layout.
"In a little over a century, 4-H has evolved from a program primarily designed for training rural youth in new agricultural technologies to the world's largest youth development program. The 4-H experience creates amazing tales best told by those who lived them. 4-H stories from the heart offers a wide variety of stories by current and former 4-H'ers, volunteers, and professionals; some as young as six years old and others eighty plus! The stories are sometimes funny, sometimes poignant, and often inspiring, but they all come from the heart."--Publisher's description.
Fans of memoir will appreciate the honest portrayal of growing up between rebellion and tradition in Love, Sex, and 4-H.
Raising chickens teaches more than animal husbandry. It’s a hands-on chance to learn the character- and community-building principles and practices that 4-H is all about. And, of course, it’s fun. This easy-to-follow, illustrated guide introduces beginners to the basics of how to raise chickens. Whether you’re a 4-H’r, a first-time poultry owner, or a future egg farmer, The 4-H Guide to Raising Chickens provides step-by-step instructions for your project. From selecting a breed to caring for chicks, from housing and fencing to feeding and preventing or treating illness, the guide presents simple, straightforward information about chickens of all kinds, raised for pets, eggs, or meat. It also includes a glossary and list of resources.
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results