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    <responseDate>2026-10-12T21:28:39Z</responseDate>
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    <identifier>10.57760/sciencedb.39989</identifier>
    <datestamp>2026-06-23T00:27:11Z</datestamp>
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  <dc:date>2026-06-23</dc:date>
  <dc:title>Interview Transcript and Analyses</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.39989</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The table shows interview material of (n=12) randomly selected persons. For transcrbing audio-recorded material into written text, TurboScribe (2025; developed by Leif Erikson Ventures), LLC.), was used, while the authors manually reviewed, refined, and verified the transcribed text material. During the qualitative analysis, ChatGPT (GPT-5.5, 2022, OpenAI, LLC., San Francisco, CA, USA) assisted to create a table containing, for each subcategory and interview, the cited text passage, and a summary of the passage. All content was carefully reviewed and revised before being added to the existing Excel spreadsheet. </dc:description>
  <dc:subject>adolescents; climate change education; participation; exhibition</dc:subject>
  <dc:creator>Scientific Collaborator</dc:creator>
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  <dc:publisher>Science Data Bank</dc:publisher>
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