{"id":"W2038237923","doi":"10.1108/01437730710761742","title":"Leadership development: learning from best practices","year":2007,"lang":"en","type":"article","venue":"Leadership & Organization Development Journal","topic":"Human Resource Development and Performance Evaluation","field":"Psychology","cited_by":182,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Leadership development; Best practice; Originality; Knowledge management; Value (mathematics); Training and development; Variety (cybernetics); Management science; Computer science; Process management; Business; Public relations; Management; Sociology; Political science; Engineering; Qualitative research","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","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003602588,0.0004605651,0.0003418908,0.0007104978,0.001553871,0.0004372463,0.0005702338,0.0003940531,0.02171646],"category_scores_gemma":[0.0009066683,0.0004704106,0.00005442817,0.001163675,0.00009736844,0.0007879061,0.00007425253,0.001319033,0.008088741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005175809,"about_ca_system_score_gemma":0.0008452733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001278977,"about_ca_topic_score_gemma":0.0001005234,"domain_scores_codex":[0.9954753,0.0003298952,0.001322547,0.0005768564,0.001159276,0.00113615],"domain_scores_gemma":[0.9967725,0.0003732925,0.001598677,0.0002317094,0.0006375026,0.0003862738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002136235,0.0003629606,0.5725915,0.00005939137,0.0005771327,0.0001663983,0.2283671,0.0001045145,0.001150698,0.0002055351,0.00421538,0.1919857],"study_design_scores_gemma":[0.00216349,0.00008474835,0.5746168,0.0002742711,0.00008282842,0.0003056894,0.1075737,0.00002118912,0.01052322,0.00003472997,0.3032154,0.001103822],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9463146,0.0009930524,0.03748588,0.001556713,0.001994374,0.0003622145,5.316687e-7,0.0003216836,0.01097094],"genre_scores_gemma":[0.9502118,0.00002470966,0.0120409,0.001290633,0.001222014,0.00000952941,0.000334704,0.0001304093,0.03473525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2990001,"threshold_uncertainty_score":0.9997748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3353398391251708,"score_gpt":0.3690651833477344,"score_spread":0.03372534422256357,"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."}}