{"id":"W1567651163","doi":"10.4324/9780203994887-18","title":"Categorizing the workers : Electronic surveillance and social ordering in the call center","year":2002,"lang":"en","type":"book-chapter","venue":"Routledge eBooks","topic":"Anthropology: Ethics, History, Culture","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Internet privacy; Everyday life; Identity (music); Variety (cybernetics); Public relations; Computer security; Political science; Data science; Computer science; Artificial intelligence; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001301445,0.0003087474,0.0003457567,0.00005990148,0.001578516,0.0001034469,0.000612685,0.0007043541,0.000184121],"category_scores_gemma":[0.000058159,0.0002128558,0.0001343478,0.00002981702,0.002447545,0.00004041334,0.00009206616,0.001853323,0.00005364133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005600391,"about_ca_system_score_gemma":0.0002723644,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001598377,"about_ca_topic_score_gemma":0.0687708,"domain_scores_codex":[0.997881,0.0003642743,0.0002805442,0.0004147315,0.0004112961,0.0006481379],"domain_scores_gemma":[0.9991466,0.0002736107,0.0002060105,0.0002560836,0.00007470449,0.00004301836],"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":[0.00002098067,0.0000146792,0.001200481,0.00003710358,0.0000878921,0.00003164977,0.2748104,5.583912e-7,0.000003089162,0.7029136,0.01571475,0.005164886],"study_design_scores_gemma":[0.0002075409,0.00001837649,0.0001770706,0.00003790192,0.00002237936,0.000004961206,0.00774382,0.00000298795,2.47944e-7,0.007015922,0.984465,0.0003038042],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0002729854,0.002197134,0.00002560282,0.005668699,0.0006218703,0.0004956356,0.000009303681,0.00006511523,0.9906437],"genre_scores_gemma":[0.551331,0.0003181952,0.000006959951,0.0008786379,0.001321259,0.00002663779,0.000008023338,0.0000593916,0.4460499],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9687502,"threshold_uncertainty_score":0.9997213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03942311529078336,"score_gpt":0.2883660547446046,"score_spread":0.2489429394538213,"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."}}