{"id":"W2002414221","doi":"10.1177/0263211x010294005","title":"Illustrating Issues of Power and Control","year":2001,"lang":"en","type":"article","venue":"Educational Management & Administration","topic":"Communication in Education and Healthcare","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Principal (computer security); Selection (genetic algorithm); Power (physics); Control (management); Representation (politics); Administration (probate law); ICARUS; Sociology; Educational administration; Psychology; Pedagogy; Political science; Higher education; Politics; Computer science; Law; Artificial intelligence","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":[0.003101312,0.0008002848,0.0003039577,0.0008611443,0.006724515,0.007375402,0.001057838,0.003495656,0.00896793],"category_scores_gemma":[0.00489615,0.0002867059,0.000562715,0.0006477247,0.02758599,0.008182351,0.005642417,0.004732963,0.0008117085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003112785,"about_ca_system_score_gemma":0.001579893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002621592,"about_ca_topic_score_gemma":0.002027,"domain_scores_codex":[0.9943791,0.004155727,0.00006429573,0.00030202,0.0005544434,0.0005444526],"domain_scores_gemma":[0.9979581,0.00147626,0.0001187975,0.0001869724,0.0001108529,0.0001490198],"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":[0.00001081647,0.000004978205,0.00007368949,0.00001380469,0.000001881137,0.0002879134,0.01061515,0.0002632838,0.000154304,0.9843898,0.001681885,0.002502552],"study_design_scores_gemma":[0.00002188556,0.00004465706,0.0002512545,0.00009520645,0.000005199392,0.0005422859,0.01540679,0.001785914,0.0005569357,0.8043234,0.1769484,0.00001807084],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03524434,0.001910877,0.06733155,0.02270585,0.0006586613,0.00004887075,0.00002511142,0.00008612953,0.8719886],"genre_scores_gemma":[0.9599117,0.001003642,0.008322964,0.001660986,0.0002455291,0.00009838998,0.0000164592,0.00005143684,0.02868883],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00896793,"threshold_uncertainty_score":0.03000075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03698839809965005,"score_gpt":0.4158171339141717,"score_spread":0.3788287358145216,"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."}}