{"id":"W4380228227","doi":"10.1515/9780773588769-013","title":"North-South Networks of Knowledge: Harold Innis, the Rockefeller Foundation, and the Canadian Social Science Research Council’s Arctic Survey","year":2013,"lang":"en","type":"book-chapter","venue":"McGill-Queen's University Press eBooks","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Foundation (evidence); Arctic; Research council; Geography; Political science; Library science; Sociology; History; Archaeology; Oceanography; Geology; Philosophy; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.005003654,0.0005920407,0.0004592969,0.003409444,0.005893767,0.005207663,0.0009738564,0.001615089,0.01810311],"category_scores_gemma":[0.00522683,0.0005868328,0.0002525787,0.00619776,0.002796247,0.007144981,0.003277117,0.002442387,0.004296246],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01119323,"about_ca_system_score_gemma":0.02556368,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4886828,"about_ca_topic_score_gemma":0.7756876,"domain_scores_codex":[0.9975743,0.0005936209,0.00006068217,0.0001982763,0.001264528,0.0003087107],"domain_scores_gemma":[0.9964759,0.001049921,0.0001344616,0.0001318588,0.001370662,0.0008371292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.000004635575,0.000005264872,0.0004058326,0.00003752562,0.00000168689,0.00001378298,0.001867714,0.00002432322,0.00001254063,0.01511248,0.9517179,0.03079645],"study_design_scores_gemma":[0.000001385522,0.000001395246,0.001694753,0.0002992981,0.000001952872,0.00001471343,0.002435563,0.00001966308,0.00002729899,0.004588795,0.9909049,0.00001034276],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003157028,0.1562089,0.001906179,0.3993542,0.01561334,0.00008385826,0.002931871,0.0001791137,0.4205655],"genre_scores_gemma":[0.04085397,0.1156368,0.002738024,0.02049508,0.003181452,0.0001784391,0.002027302,0.0003131838,0.8145757],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9941062,"threshold_uncertainty_score":0.9716767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1072306114760829,"score_gpt":0.3122638877419104,"score_spread":0.2050332762658275,"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."}}