RESUMEN
Veganic agriculture, often described as farming that is free of synthetic and animal-based inputs, represents an alternative to chemical-based industrial agriculture and the prevailing alternative, organic agriculture, respectively. Despite the promise of veganic methods in diverse realms such as food safety, environmental sustainability, and animal liberation, it has a small literature base. This article draws primarily on interviews conducted in 2018 with 25 veganic farmers from 19 farms in the United States to establish some baseline empirical research on this farming community. Its qualitative perspectives illuminate farmer perceptions of and experiences with veganic growing, including definitions, knowledge acquisition, values, and challenges. Results highlight a lack of agreement about the meaning of veganic agriculture in terms of allowable inputs and scope. Participants have drawn on a wide array of veganic and non-veganic resources to ascend their veganic production learning curves, also relying on experimentation and trial-and-error. Their farming is motivated by a diversity of real and perceived benefits, most notably consistency with veganism, food safety advantages, and plant and soil health benefits. Veganic product sourcing and the dearth of veganic agriculture-specific resources present considerable challenges to farmers. The article briefly discusses possibilities for developing veganic agriculture in the United States, such as through a US-based certification system and farmers' associations, based on considerations of the trajectory of the US organic farming movement and veganic developments in Europe. Finally, the article suggests the importance of expanded research into soil health and fertility in plant-based systems to support practicing and potential veganic farmers.
RESUMEN
BACKGROUND: Reliable audit tools are needed to examine the potential of built environment features for physical activity. METHODS: An audit tool for alley environments was developed with land use, substrate, and use, condition, and safety items. Two audit teams independently audited 29 Los Angeles alleys, and interteam reliability was calculated with Cohen's and prevalence-adjusted, bias-adjusted kappa (PABAK) statistics; intraclass correlation coefficients; and percent observed agreement. RESULTS: Forty-two of 47 dichotomous items analyzed for reliability had PABAK values > or = 0.61 ("substantial agreement"). Sixteen of 23 ordinal and continuous response items analyzed had ICCs > or = 0.61, and an additional 6 with lower ICC values had observed agreement > or = 79%. Items concerning the presence or absence of use-related alley features demonstrated the lowest reliability. CONCLUSIONS: The instrument has acceptable reliability for most of its items and appears to be a promising tool for use by other researchers and professionals in the measurement of alley environments.