{"id":"W2799977991","doi":"10.7939/r3w37m13z","title":"Time and Story in Sahtu Self Government: Intercultural Bureaucracies on Great Bear Lake","year":2016,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bureaucracy; Government (linguistics); Political science; Sociology; Law; Politics; Philosophy","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":[],"consensus_categories":[],"category_scores_codex":[0.002908961,0.0003986451,0.0005474879,0.001317665,0.03026992,0.006803371,0.001682058,0.001706616,0.004303015],"category_scores_gemma":[0.004941949,0.000502341,0.0002194749,0.002105614,0.02540888,0.004960729,0.008982563,0.003243175,0.0002556396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01886077,"about_ca_system_score_gemma":0.009353636,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3387038,"about_ca_topic_score_gemma":0.4921111,"domain_scores_codex":[0.9957032,0.002420819,0.0000880013,0.0002880291,0.00057959,0.0009204748],"domain_scores_gemma":[0.9968862,0.001794525,0.0002808899,0.0001137297,0.0002552069,0.0006693386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000005923083,0.000005115219,0.000627536,0.00001058416,0.000001154083,0.0004288528,0.9955983,0.00001152946,0.0001023263,0.001951192,0.0004472744,0.0008102952],"study_design_scores_gemma":[5.514961e-7,0.000004431432,0.0009298961,0.00002653327,0.000001047004,0.00005390686,0.9869764,0.00001976171,0.00004608155,0.0001506148,0.0117868,0.000003917578],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9710923,0.0006713168,0.0003283823,0.004776112,0.00007021783,0.00002456912,0.00004234125,0.00001710598,0.02297755],"genre_scores_gemma":[0.994087,0.0003996863,0.0001766445,0.0003470597,0.00001321603,0.00001790504,0.00002194081,0.00001923912,0.004917183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6612962,"threshold_uncertainty_score":0.6734645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00954608107063041,"score_gpt":0.221064766523442,"score_spread":0.2115186854528116,"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."}}