{"id":"W3121921922","doi":"","title":"Against Exclusion: Teaching Transsystemically, Learning in Community","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Legal Education and Practice Innovations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Indigenous; Commonwealth; Rigour; Legal education; Political science; Happening; Law; Sociology; Public administration; History","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00763278,0.0005626254,0.000491207,0.001119285,0.02522916,0.009588382,0.00396221,0.003438257,0.01609031],"category_scores_gemma":[0.008365836,0.0003023991,0.000476718,0.001144151,0.02089105,0.006451821,0.02222009,0.006663996,0.003109548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01115958,"about_ca_system_score_gemma":0.03655737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04826375,"about_ca_topic_score_gemma":0.1427565,"domain_scores_codex":[0.9923055,0.004289552,0.00009423762,0.0004598063,0.001112983,0.001737861],"domain_scores_gemma":[0.9926323,0.001914583,0.0002487538,0.0003153297,0.0006042347,0.004284831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005777736,0.00148971,0.003416793,0.0003472737,0.00001391673,0.0008900491,0.6282,0.0004521745,0.001476718,0.08292142,0.07140496,0.2093291],"study_design_scores_gemma":[0.00006063886,0.0003087085,0.003739466,0.0007024296,0.000008645698,0.0004684447,0.4460302,0.000482704,0.0007252992,0.0448823,0.5025476,0.00004371874],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.338551,0.003686648,0.02883972,0.09913015,0.002807754,0.001271368,0.00009291223,0.0009234823,0.5246969],"genre_scores_gemma":[0.881305,0.003310347,0.01891322,0.01199735,0.0004057195,0.0007035433,0.000155617,0.0002784984,0.08293068],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04826375,"threshold_uncertainty_score":0.09596568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01764632844583856,"score_gpt":0.3397817228713135,"score_spread":0.3221353944254749,"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."}}