{"id":"W7132865761","doi":"","title":"Legal Silence, Worker Suffering: Law, Electronic Workplace Surveillance, and Amazon Warehouse Worker Injuries in Ontario","year":2025,"lang":"","type":"dissertation","venue":"TSpace","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Amazon rainforest; Warehouse; Productivity; Occupational safety and health; Workers' compensation; Work (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":[0.001356542,0.0002043391,0.0004209434,0.0007466677,0.0246518,0.005244622,0.001301101,0.001629824,0.003708981],"category_scores_gemma":[0.004753521,0.0004070749,0.0002714208,0.002286874,0.01781116,0.002353179,0.005294336,0.002438025,0.0001699591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07148658,"about_ca_system_score_gemma":0.07437687,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9793132,"about_ca_topic_score_gemma":0.9916952,"domain_scores_codex":[0.9974529,0.0005275679,0.00009121665,0.0002130687,0.0007618824,0.0009534649],"domain_scores_gemma":[0.9964961,0.0009836891,0.000751911,0.0001383743,0.0007652275,0.0008646456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002660803,0.00002075863,0.01337787,0.00005687776,0.00000595824,0.0004896593,0.9765637,0.00004637321,0.000339039,0.003934705,0.001659442,0.003479064],"study_design_scores_gemma":[0.000003600879,0.0000178073,0.01856855,0.00007179006,0.000005327635,0.00009306562,0.9553229,0.00006633382,0.00008588475,0.0004611744,0.02528032,0.00002326687],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9704236,0.0008937044,0.000307386,0.01079887,0.00004560475,0.00003879142,0.0001643829,0.000006767386,0.01732085],"genre_scores_gemma":[0.9930923,0.0007261385,0.0001124945,0.0009016421,0.00001005383,0.00001912727,0.00004377841,0.000007035523,0.00508742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07148658,"threshold_uncertainty_score":0.5186739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00913629062815651,"score_gpt":0.275629106422301,"score_spread":0.2664928157941445,"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."}}