{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.004233328,0.0008005527,0.0006323796,0.0001375438,0.009396084,0.0005305346,0.002359271,0.0004123615,0.0006920258],"category_scores_gemma":[0.0001295925,0.0003231344,0.0005987202,0.001150132,0.001407435,0.0005631387,0.000172672,0.001786519,0.0002716611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001767692,"about_ca_system_score_gemma":0.0005144979,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2984131,"about_ca_topic_score_gemma":0.7895176,"domain_scores_codex":[0.9903894,0.003399663,0.001191733,0.0009598044,0.003004991,0.001054411],"domain_scores_gemma":[0.9959159,0.00053403,0.001515596,0.001445735,0.0004867977,0.0001019024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003391961,0.0005704373,0.0001497976,0.00005130201,0.0002360148,0.000002642129,0.730736,0.00004414543,0.0003648602,0.2640115,0.001052874,0.002441189],"study_design_scores_gemma":[0.001663589,0.0005796815,0.04403814,0.002084472,0.0004389046,0.000002492074,0.2106189,0.0000136404,0.01475231,0.03871744,0.6858501,0.001240258],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6720771,0.0000469306,0.00009616341,0.01745734,0.003377827,0.01140703,0.00001882497,0.00006975496,0.2954491],"genre_scores_gemma":[0.91976,0.00005398462,0.000007088964,0.0002465843,0.0003586856,0.004699374,0.00001266951,0.00005287568,0.0748087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6847973,"threshold_uncertainty_score":0.9999221,"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."}}