{"id":"W2884683959","doi":"10.26522/ssj.v12i1.1830","title":"Idle No More and Black Lives Matter: An Exchange (Panel Discussion)","year":2018,"lang":"en","type":"article","venue":"Studies in Social Justice","topic":"Race, History, and American Society","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Toronto","funders":"","keywords":"Idle; Panel discussion; Political science; Sociology; Economics; Business; Computer science; Advertising","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0005002702,0.000147562,0.0002817063,0.00003287786,0.002254102,0.00003571817,0.0002045519,0.00008274086,0.0001927311],"category_scores_gemma":[0.0003046209,0.0001155404,0.00005464002,0.0002882635,0.007039351,0.0002632216,0.0001405677,0.0001446906,0.0001744509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001944778,"about_ca_system_score_gemma":0.0000614907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005108964,"about_ca_topic_score_gemma":0.001597592,"domain_scores_codex":[0.9985304,0.0002600192,0.0001762607,0.000322855,0.0003007643,0.0004097015],"domain_scores_gemma":[0.9993588,0.0001374053,0.0001045472,0.0001159486,0.0001848538,0.00009843658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002267247,0.0000646703,0.002271227,0.0001083754,0.00003148348,0.000005032752,0.8151844,1.013597e-7,0.00002097218,0.0006539789,0.1786894,0.002947738],"study_design_scores_gemma":[0.000190032,0.00008086536,0.007389872,0.00003087204,0.00007836642,2.48228e-7,0.7472026,0.000006357939,0.000001166556,0.0003145891,0.2445055,0.0001995814],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4863693,0.003560077,0.00003690618,0.01148275,0.006193685,0.000650165,0.00004857642,0.0002138067,0.4914447],"genre_scores_gemma":[0.9514021,0.003825997,0.0007337463,0.003118722,0.0120314,0.00004198483,0.00000330648,0.00003215646,0.02881058],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4650328,"threshold_uncertainty_score":0.9990448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06705934391358669,"score_gpt":0.3861480446466753,"score_spread":0.3190887007330886,"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."}}