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  "author": "Suzanne Pierce",
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  "author": "Suzanne Pierce",
            
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  "name": "sites-stories-interactive-for-crc-paper",
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  "name": "sites-stories-interactive-for-crc-paper",
            
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  "notes": "Results: Community-Informed Climate Impact Assessment of 
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  "notes": "Results: Community-Informed Climate Impact Assessment of 
            
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Nunapitchuk, Alaska\r\n\r\nThis is a preliminary analysis and 
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Nunapitchuk, Alaska\r\n\r\nThis is a preliminary analysis and 
            
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interactive site combining results of Arctic Infrastructure Analyses 
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interactive site combining results of Arctic Infrastructure Analyses 
            
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that link narrative interview information with on the ground 
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that link narrative interview information with on the ground 
            
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environmental information collected using drone sensors. The study 
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environmental information collected using drone sensors. The study 
            
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presents a mixed-methods analysis integrating stakeholder interviews 
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presents a mixed-methods analysis integrating stakeholder interviews 
            
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(n=7, ages 43-80) with geospatial data to assess climate-induced 
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(n=7, ages 43-80) with geospatial data to assess climate-induced 
            
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infrastructure vulnerabilities in Nunapitchuk, Alaska. Through 
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infrastructure vulnerabilities in Nunapitchuk, Alaska. Through 
            
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systematic coding of interview transcripts, we identified 47 
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systematic coding of interview transcripts, we identified 47 
            
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references to permafrost degradation, representing the dominant 
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references to permafrost degradation, representing the dominant 
            
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environmental concern across all stakeholder groups. The analysis 
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environmental concern across all stakeholder groups. The analysis 
            
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revealed critical infrastructure failures affecting 38 documented 
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revealed critical infrastructure failures affecting 38 documented 
            
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structures, with differential subsidence rates showing south-facing 
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structures, with differential subsidence rates showing south-facing 
            
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foundations degrading 40% faster than north-facing 
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foundations degrading 40% faster than north-facing 
            
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structures.\r\n\r\nOur Scientific Variable Object (SVO) framework 
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structures.\r\n\r\nOur Scientific Variable Object (SVO) framework 
            
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mapped nine quantifiable metrics to stakeholder priorities, revealing 
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mapped nine quantifiable metrics to stakeholder priorities, revealing 
            
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high concordance (>80%) between elder traditional knowledge and 
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high concordance (>80%) between elder traditional knowledge and 
            
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scientific measurements for permafrost thaw rates and ground 
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scientific measurements for permafrost thaw rates and ground 
            
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subsidence indicators. Water quality assessments detected arsenic 
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subsidence indicators. Water quality assessments detected arsenic 
            
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concentrations downstream from waste facilities, corroborating 
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concentrations downstream from waste facilities, corroborating 
            
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community-reported health concerns including unprecedented cancer 
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community-reported health concerns including unprecedented cancer 
            
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clusters and first-time waterborne illnesses among lifelong 
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clusters and first-time waterborne illnesses among lifelong 
            
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residents.\r\n\r\nThe perceived environmental change trajectory, 
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residents.\r\n\r\nThe perceived environmental change trajectory, 
            
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validated through temporal analysis spanning 1920-2024, demonstrates 
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validated through temporal analysis spanning 1920-2024, demonstrates 
            
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accelerating degradation with ground stability declining from 95% 
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accelerating degradation with ground stability declining from 95% 
            
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(1970s) to 30% (2020s). Multiple stakeholders independently estimated 
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(1970s) to 30% (2020s). Multiple stakeholders independently estimated 
            
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a 3-5 year window before complete infrastructure failure, aligning 
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a 3-5 year window before complete infrastructure failure, aligning 
            
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with geotechnical projections showing active layer depths increasing 
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with geotechnical projections showing active layer depths increasing 
            
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at 12cm/year.\r\n\r\nEconomic impact analysis revealed a 900% increase 
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at 12cm/year.\r\n\r\nEconomic impact analysis revealed a 900% increase 
            
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in energy costs over one generation ($20/barrel to $190/month), 
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in energy costs over one generation ($20/barrel to $190/month), 
            
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threatening community sustainability. The 3D point cloud visualization 
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threatening community sustainability. The 3D point cloud visualization 
            
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captured 2.3km\u00b2 of riverbank terrain at 15-point/m\u00b2 density, 
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captured 2.3km\u00b2 of riverbank terrain at 15-point/m\u00b2 density, 
            
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documenting erosion rates of 2.5m/year and permafrost-related surface 
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documenting erosion rates of 2.5m/year and permafrost-related surface 
            
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deformation patterns.\r\n\r\nCritical findings indicate immediate 
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deformation patterns.\r\n\r\nCritical findings indicate immediate 
            
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federal intervention is required, with $11 million already allocated 
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federal intervention is required, with $11 million already allocated 
            
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for waste management upgrades. The convergence of traditional 
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for waste management upgrades. The convergence of traditional 
            
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knowledge with quantitative measurements strengthens the validity of 
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knowledge with quantitative measurements strengthens the validity of 
            
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relocation timelines. This integrated assessment framework provides a 
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relocation timelines. This integrated assessment framework provides a 
            
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replicable methodology for climate impact evaluation in Arctic 
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replicable methodology for climate impact evaluation in Arctic 
            
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communities, demonstrating the value of incorporating indigenous 
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communities, demonstrating the value of incorporating indigenous 
            
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knowledge systems into engineering assessments for infrastructure 
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knowledge systems into engineering assessments for infrastructure 
            
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resilience planning.\r\n\r\nComparison: AI vs Human Coding AnalysisKey 
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resilience planning.\r\n\r\nComparison: AI vs Human Coding AnalysisKey 
            
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Differences: \r\n\r\nThe AI analysis identified significantly more 
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Differences: \r\n\r\nThe AI analysis identified significantly more 
            
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thematic references (215 total) compared to human coding (19 entries), 
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thematic references (215 total) compared to human coding (19 entries), 
            
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with AI emphasizing permafrost degradation as the primary concern 
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with AI emphasizing permafrost degradation as the primary concern 
            
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while human coders focused more granularly on specific infrastructure 
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while human coders focused more granularly on specific infrastructure 
            
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issues like boardwalks and dump management. Human coding showed the 
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issues like boardwalks and dump management. Human coding showed the 
            
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City Manager contributing 58% of coded entries, suggesting more 
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City Manager contributing 58% of coded entries, suggesting more 
            
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detailed attention to administrative perspectives, whereas AI analysis 
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detailed attention to administrative perspectives, whereas AI analysis 
            
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distributed concerns more evenly across stakeholder groups. The AI 
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distributed concerns more evenly across stakeholder groups. The AI 
            
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approach captured broader thematic patterns and frequencies, while 
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approach captured broader thematic patterns and frequencies, while 
            
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human coding provided more precise, quote-specific categorizations 
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human coding provided more precise, quote-specific categorizations 
            
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with detailed contextual understanding. Both approaches identified 
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with detailed contextual understanding. Both approaches identified 
            
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waste management and infrastructure failure as critical issues, but 
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waste management and infrastructure failure as critical issues, but 
            
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differed in their emphasis on cultural preservation (AI) versus 
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differed in their emphasis on cultural preservation (AI) versus 
            
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practical infrastructure solutions (human coders).Similarities: Both 
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practical infrastructure solutions (human coders).Similarities: Both 
            
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identified dump/waste management and infrastructure problems related 
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identified dump/waste management and infrastructure problems related 
            
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to ground instability as critical issues, recognized water quality 
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to ground instability as critical issues, recognized water quality 
            
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concerns, and captured the urgency of the situation requiring 
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concerns, and captured the urgency of the situation requiring 
            
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immediate intervention.",
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