{"id":"W4385865927","doi":"10.59962/9780774850148-014","title":"Appendix B Notes on “Race” in Canadian Census Statistics: Historical, Conceptual, and Political Dimensions","year":2007,"lang":"en","type":"book-chapter","venue":"University of British Columbia Press eBooks","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Race (biology); Census; Politics; Statistics; Geography; Genealogy; Regional science; History; Sociology; Political science; Demography; Gender studies; Mathematics; Population; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001384005,0.0001431403,0.0004436457,0.0001372832,0.0001583212,0.00003782157,0.000116927,0.0003589359,0.0002384272],"category_scores_gemma":[0.0001231417,0.0003086166,0.00006094585,0.000008440809,0.0002919627,0.0000305416,0.00006221014,0.0003228351,0.000007151059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008528763,"about_ca_system_score_gemma":0.0001595955,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9185618,"about_ca_topic_score_gemma":0.9794091,"domain_scores_codex":[0.9987316,0.00003079856,0.0002955328,0.0003132786,0.000267254,0.0003615341],"domain_scores_gemma":[0.9985602,0.0004901356,0.0001936653,0.0002149158,0.0001625176,0.0003785186],"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":[0.00002250068,0.00003945467,0.0004826487,0.0001422039,0.00004434515,0.0006100505,0.0002794127,0.000002856663,6.299753e-7,0.904846,0.08706125,0.006468632],"study_design_scores_gemma":[0.001164119,0.0001554489,0.002463228,0.001045357,0.0002053678,0.00006311479,0.00009086001,0.0003022651,7.161397e-7,0.08386472,0.9099916,0.0006532178],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01154054,0.0002701409,0.0004896402,0.00007290246,0.0003176267,0.001119084,0.01000187,0.00009084126,0.9760973],"genre_scores_gemma":[0.1262689,0.0001039339,0.01152069,0.00012737,0.00008878699,7.190907e-7,0.0007172184,0.00009259867,0.8610798],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8229303,"threshold_uncertainty_score":0.9999366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06024374574318683,"score_gpt":0.257484344958282,"score_spread":0.1972405992150952,"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."}}