Climate conversations: Discursive strategies of climate justice organizing
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This data set consists of 41 interviews with U.S. climate justice organizers. These interviews were recorded over Zoom by Julia Fine from October 2021 to February 22. The interviews focused on the organizers' experiences with having climate conversations, including their goals for these conversations, their target audiences, and their strategies for communicating about climate justice and encouraging collective climate action. Each interview is approximately 1 hour long. The files in the dataset consist of video and/or audio recordings of interviews (as .mp4, .m4a, and .wav files), plain text transcripts of the interviews that were automatically generated using Zoom's auto-subtitling feature (as .txt files), and an ATLAS.ti file containing a content analysis of the interview transcripts' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["climate change","climate change communication","climate justice","social movements"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This data set consists of 41 interviews with U.S. climate justice organizers. These interviews were recorded over Zoom by Julia Fine from October 2021 to February 22. The interviews focused on the organizers' experiences with having climate conversations, including their goals for these conversations, their target audiences, and their strategies for communicating about climate justice and encouraging collective climate action. Each interview is approximately 1 hour long. The files in the dataset consist of video and/or audio recordings of interviews (as .mp4, .m4a, and .wav files), plain text transcripts of the interviews that were automatically generated using Zoom's auto-subtitling feature (as .txt files), and an ATLAS.ti file containing a content analysis of the interview transcripts' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This data set consists of 41 interviews with U.S. climate justice organizers. These interviews were recorded over Zoom by Julia Fine from October 2021 to February 22. The interviews focused on the organizers' experiences with having climate conversations, including their goals for these conversations, their target audiences, and their strategies for communicating about climate justice and encouraging collective climate action. Each interview is approximately 1 hour long. The files in the dataset consist of video and/or audio recordings of interviews (as .mp4, .m4a, and .wav files), plain text transcripts of the interviews that were automatically generated using Zoom's auto-subtitling feature (as .txt files), and an ATLAS.ti file containing a content analysis of the interview transcripts
climate change; climate change communication; climate justice; social movements