{"id":"W4391346740","doi":"10.51644/9781771122023-006","title":"Material Differences: Ethnic Diversity and the Power of Things in Greater Sudbury","year":2017,"lang":"en","type":"book-chapter","venue":"","topic":"Italian Fascism and Post-war Society","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Diversity (politics); Ethnic group; Power (physics); Geography; Sociology; Anthropology; Physics","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":[0.0005027638,0.0004090869,0.000204186,0.0009521663,0.007555842,0.003579539,0.0004341762,0.0004892614,0.01504413],"category_scores_gemma":[0.0007371683,0.0001276368,0.0001295714,0.001778489,0.008553505,0.00152184,0.002079185,0.00134593,0.0003323162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008470893,"about_ca_system_score_gemma":0.003826928,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1800423,"about_ca_topic_score_gemma":0.4799387,"domain_scores_codex":[0.9996326,0.0001016092,0.000007922957,0.00003747735,0.00004691872,0.0001735115],"domain_scores_gemma":[0.9998358,0.00005670126,0.00002517162,0.00001122046,0.00001937468,0.00005159343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001500496,0.00008343018,0.008159718,0.0001281016,0.0000129278,0.0007420763,0.2720124,0.0001497725,0.00118052,0.635349,0.01698185,0.06505021],"study_design_scores_gemma":[0.00002888981,0.00008320309,0.1115475,0.0005373386,0.00002375917,0.0002994751,0.2533465,0.0001237194,0.0005279456,0.05916691,0.5742807,0.00003392838],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2482715,0.005048354,0.0002114156,0.00552594,0.0002472231,0.00002251985,0.00007022943,0.000007070457,0.7405959],"genre_scores_gemma":[0.8779474,0.002923213,0.0002057887,0.0006368684,0.0001485021,0.00001803885,0.00006272133,0.00001249467,0.1180449],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8199577,"threshold_uncertainty_score":0.3579887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04002215225707016,"score_gpt":0.2605000430231676,"score_spread":0.2204778907660975,"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."}}