{"id":"W2340754745","doi":"","title":"Labour Markets and Identity on the Post-Industrial Assembly Line Answer the Call: Virtual Migration in Indian Call Centres Call Centers and the Global Division of Labor: A Political Economy of Post-Industrial Employment and Union Organizing","year":2015,"lang":"en","type":"article","venue":"Labour / Le Travail","topic":"Labor Movements and Unions","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Call centre; Post office; Politics; Assembly line; Division of labour; Identity (music); Political science; Business; Postal service; Public administration; Engineering; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00227833,0.000191899,0.0002622498,0.001886169,0.01439523,0.01822263,0.001559721,0.002610345,0.02370923],"category_scores_gemma":[0.005906722,0.0002538713,0.0002685164,0.002997534,0.02284841,0.006543225,0.007100025,0.003469751,0.0008193834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007248644,"about_ca_system_score_gemma":0.006030946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06514092,"about_ca_topic_score_gemma":0.09893411,"domain_scores_codex":[0.9975786,0.0008794108,0.00003613878,0.0001264436,0.0002590939,0.001120371],"domain_scores_gemma":[0.9964186,0.001526322,0.0007228088,0.00012377,0.0003155267,0.0008930078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002189585,0.0003274125,0.03151637,0.00003523806,0.00001193623,0.000366661,0.1663381,0.0004108605,0.0002661082,0.7809501,0.004392029,0.01516611],"study_design_scores_gemma":[0.00005312745,0.00007498804,0.106187,0.0001528172,0.00002167077,0.00009615717,0.7675112,0.0009559703,0.0002915199,0.08791894,0.03667717,0.00005925133],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7644386,0.0003556707,0.0003566605,0.01385821,0.00007708809,0.00002295602,0.0000604866,0.000008940767,0.2208212],"genre_scores_gemma":[0.9956157,0.00005693333,0.0000179392,0.0001624923,0.00001940533,0.000006432773,0.000006481977,0.000004123021,0.004110387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06514092,"threshold_uncertainty_score":0.1295235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02123358064213831,"score_gpt":0.2683043378626628,"score_spread":0.2470707572205245,"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."}}