{"query_echo":{"q":"","filters":{"analysis_type":["coding guide"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'coding guide' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":1,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=coding+guide","stability":"beta","ai_marking":{"digital_source_type":{"uri":"http://cv.iptc.org/newscodes/digitalsourcetype/trainedAlgorithmicMedia","name":"Created using Generative AI"},"notice":"Summary and key insights are generated using artificial intelligence."},"results":[{"id":"commyale-000235","url":"https://climateinsightsdirectory.org/document/commyale-000235","title":"Coding instructions for content analysis of perceived populations affected by air pollution from fossil fuels","publisher":{"name":"Yale Program on Climate Change Communication","organization":"yale-program-on-climate-change-communication"},"document_type":"guide","language":"en","date_published":null,"source_url":"http://climatecommunication.yale.edu/wp-content/uploads/2019/05/Coding-instructions-for-content-analysis-of-perceived-populations-affected-by-air-pollution-from-fossil-fuels.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The document outlines a binary coding system (0=absent, 1=present) to categorize survey responses based on the populations identified as vulnerable to fossil fuel-related air pollution. It defines 22 distinct categories, ranging from demographic groups like 'BABIES/VERY YOUNG' and 'SENIORS' to socio-economic groups such as 'POOR/LOW INCOME' and 'UNINSURED/LIMITED HEALTHCARE'. It also specifies distinctions between general and specific locations, such as 'CITY DWELLERS' versus 'SPECIFIC REGION', and provides explicit examples of terms that trigger each code to ensure consistency in content analysis.","ai_generated":true,"unit":"commyale-000235#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The coding framework identifies specific vulnerable demographic groups, distinguishing between different stages of youth and age, including separate categories for 'BABIES/VERY YOUNG' and 'CHILDREN/YOUNG', as well as 'SENIORS'.","ai_generated":true,"unit":"commyale-000235#insight-1","date_modified":"2026-10-23"},{"text":"The instructions differentiate between general environmental exposure and specific occupational or regional risks, separating 'LIVE/WORK IN POLLUTED AREA' from 'COAL MINERS' and 'SPECIFIC REGION'.","ai_generated":true,"unit":"commyale-000235#insight-2","date_modified":"2026-10-23"},{"text":"Socio-economic and systemic vulnerabilities are captured through categories for 'DISENFRANCHISED', 'POOR/LOW INCOME', and 'UNINSURED/LIMITED HEALTHCARE'.","ai_generated":true,"unit":"commyale-000235#insight-3","date_modified":"2026-10-23"},{"text":"Health-based vulnerabilities are categorized by immune system status, pre-existing conditions, and lifestyle factors, specifically 'LOW IMMUNITY', 'SICK AND DISABLED', and 'SMOKERS'.","ai_generated":true,"unit":"commyale-000235#insight-4","date_modified":"2026-10-23"}],"climate_tags":["air pollution","fossil fuel","public health","environmental justice"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["coding guide"]}]}