{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003752694,0.0001876528,0.0001859242,0.000255897,0.001113982,0.0003733348,0.0001733874,0.00006079639,0.00169429],"category_scores_gemma":[0.0001378738,0.0001586104,0.00006807364,0.0003189226,0.00005356869,0.001481304,0.0003140949,0.0001828821,0.0004816384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000077707,"about_ca_system_score_gemma":0.000004930216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001594386,"about_ca_topic_score_gemma":0.0003888583,"domain_scores_codex":[0.9988579,0.00001525955,0.000251085,0.0002153801,0.0003014294,0.0003589589],"domain_scores_gemma":[0.9992852,0.00008374053,0.0002027239,0.0001887562,0.0002220089,0.00001763712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002157342,0.00002471125,0.8217572,0.00002685608,0.00007200372,6.919622e-7,0.0005251392,0.0002410281,0.00002364739,0.1684997,0.008702506,0.00012436],"study_design_scores_gemma":[0.0003089528,0.000001606346,0.8877661,0.00009103585,0.00006455006,5.793352e-7,0.002408628,0.0003134507,0.000006719582,0.04624432,0.06243394,0.0003601271],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6534316,0.0017601,0.01219689,0.006211056,0.003888155,0.0008291128,0.000002647503,0.0009428592,0.3207375],"genre_scores_gemma":[0.9900792,0.000009907975,0.0002543139,0.001568199,0.001475387,0.0000163912,0.00006103954,0.00003733212,0.006498211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3366476,"threshold_uncertainty_score":0.9992183,"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."}}