{"id":"W2110557065","doi":"10.1177/0018726711428958","title":"Working under intensive surveillance: When does ‘measuring everything that moves’ become intolerable?","year":2012,"lang":"en","type":"article","venue":"Human Relations","topic":"Management and Organizational Studies","field":"Business, Management and Accounting","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Meaning (existential); Set (abstract data type); Process (computing); Predicate (mathematical logic); Psychology; Sociology; Public relations; Social psychology; Epistemology; Computer science; Political science; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.01806216,0.0006695954,0.0006165237,0.002284847,0.008272544,0.01052219,0.002264484,0.006382364,0.002150673],"category_scores_gemma":[0.0384349,0.0004356437,0.0004590533,0.001923244,0.03677464,0.01902831,0.007039456,0.006930695,0.0003201423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007642275,"about_ca_system_score_gemma":0.003196179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004606154,"about_ca_topic_score_gemma":0.003318175,"domain_scores_codex":[0.9866222,0.008734236,0.0004289692,0.001077758,0.001759241,0.001377665],"domain_scores_gemma":[0.9708737,0.02133683,0.003640731,0.001313352,0.001898011,0.0009374487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001056922,0.00007244013,0.005744726,0.000165213,0.00001230525,0.0008568507,0.5655947,0.0001967721,0.001650525,0.401983,0.003090393,0.02052741],"study_design_scores_gemma":[0.00002231365,0.0002095995,0.01097886,0.0008032857,0.00003773285,0.000739014,0.6904243,0.002349482,0.00273892,0.2136533,0.07793137,0.0001118791],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.573249,0.004114637,0.0650946,0.1322235,0.001436772,0.000191667,0.00009789373,0.0001706714,0.2234212],"genre_scores_gemma":[0.9912203,0.0004529672,0.003600338,0.002303286,0.000161897,0.00007033865,0.00002657842,0.00004152796,0.00212274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01806216,"threshold_uncertainty_score":0.095523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05541802890778476,"score_gpt":0.236854016280023,"score_spread":0.1814359873722382,"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."}}