{"id":"W7133000467","doi":"","title":"PLANTING SEEDS OF HOPE - TRINITIES, ASYMMETRIES, KINSHIP AND SWEETGRASS BRAIDING: Anishinaabe, Lunaapeew and Hebrew Revitalization","year":2024,"lang":"","type":"dissertation","venue":"TSpace","topic":"Indigenous Health, Education, and Rights","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto; Queen's University; McGill University","keywords":"Indigenous; Kinship; Clan; Hebrew; Metis; Traditional knowledge; Ethnography; Language revitalization; Narrative","routes":{"ca_aff":false,"ca_fund":true,"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":[0.001216066,0.0001832449,0.0001834673,0.0005317947,0.01170699,0.004476415,0.000463019,0.0008797181,0.002864563],"category_scores_gemma":[0.001181077,0.0001488142,0.00008665387,0.0005881612,0.016643,0.002909842,0.00318515,0.002368507,0.0001492226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006380934,"about_ca_system_score_gemma":0.002999042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05147801,"about_ca_topic_score_gemma":0.1788501,"domain_scores_codex":[0.9993082,0.0003291952,0.000008531519,0.0000570751,0.0001071911,0.0001896943],"domain_scores_gemma":[0.9996051,0.0001931683,0.00004497995,0.00002981718,0.00004231261,0.00008474238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002964261,0.00002680251,0.002347136,0.00002636136,0.000003605214,0.0004098921,0.813685,0.00005231924,0.0007198285,0.1625889,0.002619185,0.01749134],"study_design_scores_gemma":[0.000004022637,0.00001750333,0.003363226,0.00007222709,0.000003075628,0.0001250108,0.8832225,0.00006296785,0.0003170455,0.007671681,0.1051285,0.00001205489],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8225734,0.001586849,0.001056354,0.009459137,0.0001301048,0.00002413359,0.00002313144,0.00001345414,0.1651334],"genre_scores_gemma":[0.9863898,0.000281048,0.0001873335,0.000395294,0.000008567862,0.000007915464,0.000005568259,0.000007602913,0.01271674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05147801,"threshold_uncertainty_score":0.1023567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02699718001576001,"score_gpt":0.3504490503803114,"score_spread":0.3234518703645514,"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."}}