{"id":"W6999137333","doi":"","title":"BRIDGING INDIGENOUS KNOWLEDGE AND WESTERN SCIENCE: CO-CREATING BEST PRACTICES FOR COLLABORATIVE ENVIRONMENTAL RESEARCH","year":2024,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Innovative Approaches in Technology and Social Development","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Indigenous Services Canada","keywords":"Indigenous; Traditional knowledge; Best practice; Bridging (networking); Knowledge translation; Community-based participatory research; Data collection; Community engagement","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0009943739,0.0002849808,0.0002811692,0.00102469,0.001897307,0.0005854733,0.0005013914,0.0003279413,0.0008487158],"category_scores_gemma":[0.0001200191,0.0003176516,0.00004332401,0.001982455,0.0006319233,0.001139845,0.0004136921,0.0006664919,0.0001607543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004232545,"about_ca_system_score_gemma":0.000358196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001581083,"about_ca_topic_score_gemma":0.0006649533,"domain_scores_codex":[0.9981793,0.00003311017,0.0002080628,0.0007116385,0.000364137,0.0005037069],"domain_scores_gemma":[0.9989878,0.00009855508,0.0004255626,0.00014291,0.0003263249,0.00001883653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003559935,0.0003078157,0.01473788,0.002068814,0.0003346007,0.0001039707,0.02976465,0.00000133654,0.001198801,0.04068166,0.000835315,0.9096091],"study_design_scores_gemma":[0.0006684752,0.00007706942,0.002689532,0.0004979015,0.0002121899,0.000002404675,0.1968757,0.000205529,0.001039657,0.001232549,0.7958437,0.0006553502],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2904335,0.0005275349,0.00004425344,0.00007115716,0.000419556,0.000977135,0.00002254696,0.00009123201,0.7074131],"genre_scores_gemma":[0.355083,0.00009786981,0.0004569193,0.00005416399,0.0005518704,0.0000245568,0.0003874914,0.00006848207,0.6432756],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9089538,"threshold_uncertainty_score":0.9999276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04970166003632902,"score_gpt":0.3180781828105148,"score_spread":0.2683765227741858,"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."}}