{"id":"W7133044562","doi":"","title":"The Customer Isn&apos;t Always Right: Exploring the Protective Ambit of the Employment Protection in the Ontario Human Rights Code through Customer-on-Worker Harassment","year":2016,"lang":"","type":"dissertation","venue":"TSpace","topic":"Discrimination and Equality Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Section (typography); Duty; Harassment; Cover (algebra); Statutory law; Human rights","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":[0.004755802,0.0002132075,0.0003090297,0.0007152866,0.01813906,0.01120627,0.001854616,0.003749144,0.004846693],"category_scores_gemma":[0.009024722,0.0003360406,0.0003147538,0.001121873,0.03120891,0.004121791,0.005528803,0.003854624,0.0003653912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07023855,"about_ca_system_score_gemma":0.08339358,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8625165,"about_ca_topic_score_gemma":0.9363862,"domain_scores_codex":[0.992776,0.001876662,0.00007838516,0.0004032835,0.00221498,0.002650687],"domain_scores_gemma":[0.9950138,0.002551164,0.0005273701,0.0003123524,0.001019451,0.0005758282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004087261,0.00003874723,0.00999768,0.00007066412,0.000007142965,0.0004804608,0.1241308,0.0003177965,0.0004009512,0.8417857,0.007579347,0.01514988],"study_design_scores_gemma":[0.00005630941,0.0001059269,0.0532631,0.001360828,0.0000732072,0.0003307872,0.4226497,0.002111503,0.0009860425,0.1594406,0.3594973,0.0001246423],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4021062,0.002099085,0.00323713,0.05745207,0.0001712651,0.00009696254,0.00006900953,0.00001019442,0.5347581],"genre_scores_gemma":[0.9768499,0.0008689288,0.000377579,0.002975947,0.00002860215,0.00003219705,0.00001119768,0.000008431654,0.0188471],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1374835,"threshold_uncertainty_score":0.5096188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1347635770178706,"score_gpt":0.4130010362311073,"score_spread":0.2782374592132367,"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."}}