{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.004022589,0.0002860416,0.0002323084,0.003854124,0.01629753,0.01412334,0.001276973,0.002554325,0.006699828],"category_scores_gemma":[0.01148721,0.0001876528,0.0001799681,0.002920041,0.02110408,0.008075525,0.006308871,0.001924957,0.000628321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01577792,"about_ca_system_score_gemma":0.007712805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2352076,"about_ca_topic_score_gemma":0.2459979,"domain_scores_codex":[0.9945089,0.003134346,0.000116956,0.0004401621,0.0008935236,0.0009060845],"domain_scores_gemma":[0.9937282,0.002783625,0.001192963,0.0003420082,0.0008608713,0.001092436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005890659,0.00009860934,0.03436546,0.00004470697,0.000008601634,0.0002706277,0.7912739,0.0001476153,0.0001696999,0.1212771,0.0112412,0.0410436],"study_design_scores_gemma":[0.000009395756,0.00002485681,0.03184815,0.0001805376,0.000008248978,0.00007360245,0.9036903,0.0003740886,0.00009719666,0.02011797,0.04353752,0.0000381969],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6351143,0.002700301,0.002359922,0.0505515,0.0002989005,0.0001251085,0.0001734221,0.00006125006,0.3086153],"genre_scores_gemma":[0.9903998,0.0005295465,0.0005006669,0.001158674,0.0000674182,0.00003073884,0.0000439193,0.0000134306,0.00725581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9837025,"threshold_uncertainty_score":0.467677,"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."}}