{"id":"W967315131","doi":"10.29173/alr1370","title":"Expressive Harms and the Strands of Charter Equality: Drawing out Parallel Coherent Approaches to Discrimination","year":2002,"lang":"en","type":"article","venue":"Alberta Law Review","topic":"Multicultural Socio-Legal Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dignity; Supreme court; Charter; Jurisprudence; Normative; Law; Sociology; Expression (computer science); Harm; Law and economics; Political science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000573537,0.0001210077,0.0003802971,0.000005671103,0.0004248496,0.00005311425,0.0001822341,0.00003701934,0.0001769945],"category_scores_gemma":[0.0003111386,0.00006513557,0.000106023,0.00007941856,0.0005137184,0.0001768565,0.000066625,0.00007426093,0.00002889919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003001189,"about_ca_system_score_gemma":0.000004125263,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01000107,"about_ca_topic_score_gemma":0.01084731,"domain_scores_codex":[0.9986424,0.0003890077,0.0002916837,0.0001903785,0.0002900549,0.0001964275],"domain_scores_gemma":[0.9991904,0.0004076297,0.0001397184,0.0001405375,0.00004883958,0.00007282856],"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":[0.00001423252,0.00008118433,0.0003243675,0.001282447,0.0001357351,4.818235e-7,0.2720943,0.000001559128,0.00001330447,0.6885843,0.003017456,0.03445059],"study_design_scores_gemma":[0.002336899,0.00009859719,0.002169611,0.006210996,0.0008131648,0.000001633634,0.02214104,0.0001289196,0.00009479413,0.00189329,0.9632787,0.0008323863],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04584684,0.2482536,0.0002485292,0.3363639,0.0004756332,0.008380632,0.00001948328,0.00006924212,0.3603422],"genre_scores_gemma":[0.9776337,0.0183158,0.00009645407,0.001289343,0.00007588265,0.0001973335,0.000003060268,0.000006118473,0.00238236],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9602612,"threshold_uncertainty_score":0.9965914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2167821349028373,"score_gpt":0.3395492063579511,"score_spread":0.1227670714551138,"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."}}