{"id":"W2518830518","doi":"10.4018/978-1-5225-0833-5.ch012","title":"Indigenous Knowledges and Knowledge Codification in the Knowledge Economy","year":2016,"lang":"en","type":"book-chapter","venue":"Advances in knowledge acquisition, transfer, and management book series/Advances in knowledge acquisition, transfer and management book series","topic":"Indigenous Knowledge Systems and Agriculture","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Appropriation; Traditional knowledge; Knowledge economy; Intellectual property; Positivism; Knowledge production; Indigenous; Political science; Ideology; Sociology; Environmental ethics; Social science; Epistemology; Law; Knowledge management; Philosophy; Politics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001812352,0.0003475813,0.0004572606,0.001637837,0.002036805,0.008155805,0.0008116834,0.001224147,0.005039744],"category_scores_gemma":[0.00268109,0.0002437596,0.0003932178,0.002822271,0.01101867,0.01011781,0.003084519,0.002267632,0.0009233534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004456652,"about_ca_system_score_gemma":0.004368266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005335497,"about_ca_topic_score_gemma":0.005960543,"domain_scores_codex":[0.9988189,0.0004046123,0.00007154845,0.0001299519,0.0004662173,0.000108687],"domain_scores_gemma":[0.9982966,0.001115505,0.0000983213,0.0002595287,0.0001728415,0.00005735435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000004765021,0.000007487355,0.00007688982,0.0001194601,0.000003979684,0.00008445275,0.004116724,0.0003723592,0.000143849,0.9623979,0.002513846,0.03015837],"study_design_scores_gemma":[0.000003522119,0.00001246724,0.0004934038,0.0007097205,0.00000823648,0.0002349409,0.002776176,0.0008216767,0.0004905306,0.6958236,0.2986087,0.00001718251],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01445332,0.05231662,0.02225773,0.008384191,0.0006082196,0.00007089482,0.00006310142,0.00009064266,0.9017553],"genre_scores_gemma":[0.52383,0.08398733,0.03349269,0.001954766,0.0008258235,0.0002164188,0.0002024446,0.0001913168,0.3552992],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008155805,"threshold_uncertainty_score":0.03233546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007284229711020287,"score_gpt":0.2172889718454032,"score_spread":0.2100047421343829,"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."}}