{"id":"W2534342684","doi":"10.1080/02255189.2016.1224969","title":"The Keeyask hydro dam plan in northern Canada: a model for inclusive indigenous development?","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Development Studies/Revue canadienne d études du développement","topic":"Indigenous Health, Education, and Rights","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg; Canadian Mennonite University","funders":"","keywords":"General partnership; Indigenous; Opposition (politics); Environmental planning; Plan (archaeology); Revenue; Political science; Environmental resource management; Geography; Public administration; Business; Economics; Politics; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00258209,0.0003361729,0.0002248657,0.001047692,0.01381567,0.007359883,0.001528924,0.001012576,0.002754676],"category_scores_gemma":[0.004021756,0.0002014633,0.0001926771,0.001992445,0.01229959,0.00376789,0.003883104,0.002107639,0.0001465609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06050888,"about_ca_system_score_gemma":0.129394,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9398381,"about_ca_topic_score_gemma":0.9756296,"domain_scores_codex":[0.9975426,0.0007863463,0.00004090058,0.0001632034,0.0007448781,0.0007220794],"domain_scores_gemma":[0.9982169,0.0003596251,0.0001495637,0.0001174889,0.0004393056,0.0007170401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004949334,0.0001157951,0.02426364,0.000253427,0.00001997851,0.001100517,0.7196831,0.0008349547,0.001136177,0.1901113,0.01273088,0.04970082],"study_design_scores_gemma":[0.000007470377,0.00002616994,0.01659282,0.0002274531,0.00001240208,0.0001354196,0.8961314,0.0006691079,0.0002058039,0.008505934,0.0774522,0.00003382001],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7228744,0.001525031,0.006018095,0.06883056,0.0002216203,0.0003578588,0.0002247914,0.0001092309,0.1998384],"genre_scores_gemma":[0.9888073,0.0005476055,0.002907476,0.001168583,0.000006783659,0.00008800934,0.00004345968,0.00001763818,0.00641308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06050888,"threshold_uncertainty_score":0.4390247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0393961916970416,"score_gpt":0.2635747432777193,"score_spread":0.2241785515806777,"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."}}