{"id":"W3134504359","doi":"10.1177/0950017021997369","title":"Lordly Management and its Discontents: ‘Human Resource Management’ in Pakistan","year":2021,"lang":"en","type":"article","venue":"Work Employment and Society","topic":"Management and Organizational Studies","field":"Business, Management and Accounting","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Human resource management; New institutionalism; Institutionalism; Work (physics); Perception; Power (physics); Business; Institutional logic; Political science; Knowledge management; Public relations; Sociology; Management; Economics; Politics; Epistemology; Social science; Computer science; Engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002600959,0.0002623503,0.0002458275,0.00009888487,0.0004987218,0.0003906813,0.0001512591,0.00005430538,0.0001946618],"category_scores_gemma":[0.000003596102,0.0002580986,0.00008122826,0.0007896923,0.00007882406,0.0004258962,0.0009617528,0.0001149237,0.00003205203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000485369,"about_ca_system_score_gemma":0.000002048493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000279897,"about_ca_topic_score_gemma":0.00006901618,"domain_scores_codex":[0.9984233,0.00001366454,0.0003287093,0.000533605,0.0003258076,0.0003749417],"domain_scores_gemma":[0.9996282,0.00001570614,0.0001002157,0.0001823848,0.0000504067,0.00002303289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00003832293,0.0003435115,0.2364084,0.0009609634,0.0007138404,0.0001779493,0.0008540376,0.00001633636,0.00002572075,0.6759442,0.07487553,0.009641208],"study_design_scores_gemma":[0.002810592,0.00001109018,0.5196635,0.0003000703,0.000287841,0.000001056678,0.01291706,0.0001162288,0.00001131036,0.009314556,0.4538423,0.0007244282],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6340272,0.008925539,0.0004080904,0.006909849,0.0003948473,0.001580802,0.000005845035,0.0003730741,0.3473747],"genre_scores_gemma":[0.9577754,0.001387779,0.0005190251,0.003974118,0.0002918138,0.00006575269,0.0001032882,0.00004828362,0.03583451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6666296,"threshold_uncertainty_score":0.9999871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02859258287769002,"score_gpt":0.2472866554791224,"score_spread":0.2186940726014324,"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."}}