{"id":"W7161782513","doi":"10.82308/43138","title":"Sankofa : recovering Montreal’s heterogeneous Black print serials","year":2006,"lang":"en","type":"dissertation","venue":"","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Research methodology; National identity; Silence; Urban environment","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":[0.001579113,0.0005924205,0.0003004066,0.00964382,0.007629437,0.008922994,0.001017983,0.0005875925,0.0300467],"category_scores_gemma":[0.006994141,0.0003855908,0.0002084619,0.01347927,0.003712769,0.002511637,0.00241994,0.0008417071,0.002537335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05490902,"about_ca_system_score_gemma":0.03578555,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9567069,"about_ca_topic_score_gemma":0.9823275,"domain_scores_codex":[0.9989154,0.0001147457,0.00003844105,0.0002172529,0.0004535248,0.0002605668],"domain_scores_gemma":[0.9957786,0.0005700681,0.0004341222,0.000466876,0.002346475,0.000403883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003467337,0.00008234148,0.08613794,0.0007637981,0.00009921419,0.002099074,0.1613744,0.0016315,0.003525904,0.145097,0.17724,0.4216021],"study_design_scores_gemma":[0.00001283293,0.00002016082,0.1133454,0.0003290137,0.0000333586,0.0001417782,0.03657451,0.0004569777,0.0007727463,0.001756012,0.8465115,0.0000457427],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.368098,0.006150689,0.002433927,0.009999107,0.0007387117,0.000234754,0.01134242,0.0004286957,0.6005737],"genre_scores_gemma":[0.7243635,0.003389956,0.003180184,0.0008419703,0.0001719485,0.0001110799,0.004978175,0.0004130852,0.2625502],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05490902,"threshold_uncertainty_score":0.3983947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009154186861991567,"score_gpt":0.2426136071787915,"score_spread":0.2334594203168,"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."}}