{"id":"W4361191896","doi":"10.32920/22227868","title":"Big and Little Brother: The Potential Erosion of Workplace Privacy in Canada","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Enforcement; Law enforcement; Privacy rights; Brother; Business; Democracy; Face (sociological concept); Right to privacy; Personally identifiable information; Public administration; Law; Internet privacy; Political science; Information privacy; Sociology; Politics","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":[0.002794482,0.000201794,0.0004171032,0.00126624,0.03073343,0.009690463,0.001814784,0.00236089,0.007952637],"category_scores_gemma":[0.008319216,0.0003191841,0.0003982053,0.003501727,0.008025068,0.002581525,0.004625314,0.004279653,0.0003207606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1242801,"about_ca_system_score_gemma":0.2095359,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9958412,"about_ca_topic_score_gemma":0.9981462,"domain_scores_codex":[0.9948878,0.0005053203,0.0000792897,0.0004135095,0.002049582,0.002064591],"domain_scores_gemma":[0.9933161,0.001353121,0.0004137345,0.0003226666,0.002165437,0.002429038],"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":[0.0003396811,0.0001358909,0.1043937,0.0003049636,0.00009464408,0.003576224,0.1015694,0.001364193,0.001410222,0.3737716,0.2036887,0.2093508],"study_design_scores_gemma":[0.00008569914,0.00008537862,0.150699,0.0007751614,0.0001133756,0.0009580464,0.2030971,0.003973092,0.001262417,0.05325092,0.5854115,0.0002883042],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4359612,0.007204045,0.002321217,0.3154554,0.0007049044,0.0001124157,0.0009694175,0.00009111348,0.2371803],"genre_scores_gemma":[0.9514883,0.002769658,0.0007932346,0.01561526,0.00005721964,0.00001827322,0.0001457033,0.00004076998,0.02907166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1242801,"threshold_uncertainty_score":0.9017192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02226707547200401,"score_gpt":0.243705186389136,"score_spread":0.221438110917132,"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."}}