{"id":"W7001407137","doi":"","title":"Is the United Nations framework convention on climate change an effective (or appropriate) institution for supporting indigenous peoples' adaptation to climate change?","year":2015,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"International Development Research Centre; McGill University","keywords":"Indigenous; Climate change; Vulnerability (computing); Institution; United Nations Framework Convention on Climate Change; Negotiation; Adaptation (eye)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.005728019,0.0008898134,0.0007630972,0.002675843,0.007952971,0.0005019225,0.000807193,0.001389673,0.0001089173],"category_scores_gemma":[0.006444564,0.0008270467,0.0003689553,0.004614155,0.0001367327,0.002378997,0.00009188821,0.001072012,0.0002584514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002542703,"about_ca_system_score_gemma":0.0002639166,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0104864,"about_ca_topic_score_gemma":0.2877201,"domain_scores_codex":[0.9925437,0.00145174,0.001283148,0.001459185,0.001769414,0.001492808],"domain_scores_gemma":[0.9927804,0.001416,0.001872262,0.0007613919,0.002605538,0.0005643313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.002339333,0.0007666488,0.00009273351,0.001119212,0.0002001041,0.00001220904,0.1239851,0.0001878152,0.0007464258,0.57286,0.00001178055,0.2976786],"study_design_scores_gemma":[0.006563298,0.006725064,0.01758553,0.01009175,0.002926266,0.0000224966,0.6901529,0.00368741,0.008403996,0.1015531,0.1448803,0.007407926],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9678972,0.00008724041,0.00002648751,0.0004516239,0.003498454,0.01554632,0.004880613,0.0006284666,0.00698362],"genre_scores_gemma":[0.9670535,0.002122862,0.001449939,0.001310436,0.001016663,0.01166754,0.01454374,0.000285576,0.0005497635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5661678,"threshold_uncertainty_score":0.9999067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1364892322826893,"score_gpt":0.3693817755001714,"score_spread":0.232892543217482,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}