{"id":"W2954357435","doi":"10.1177/0091026019855751","title":"The Healthy Learning Organizations Model: Lessons Learned From the Canadian Federal Public Service","year":2019,"lang":"en","type":"article","venue":"Public Personnel Management","topic":"Job Satisfaction and Organizational Behavior","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Université de Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail","keywords":"Typology; Psychology; Organizational commitment; Organizational learning; Psychosocial; Latent class model; Social learning theory; Public sector; Mental health; Sample (material); Social psychology; Public relations; Sociology; Knowledge management; Political science; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005815218,0.0002446272,0.000155906,0.0002400764,0.004315164,0.003820861,0.0008095677,0.00008585824,0.001778403],"category_scores_gemma":[0.000192843,0.000175986,0.00006003588,0.001612297,0.00004873233,0.001245328,0.0003545099,0.000382161,0.003014581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003384439,"about_ca_system_score_gemma":0.0002663231,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08354495,"about_ca_topic_score_gemma":0.4726619,"domain_scores_codex":[0.9979231,0.00005067075,0.0002855302,0.0004670307,0.000572636,0.0007010725],"domain_scores_gemma":[0.9985494,0.00008405848,0.0001709495,0.0005012259,0.0006078838,0.00008648825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001620902,0.00008223181,0.2713751,0.00005201578,0.0001830394,0.000004394863,0.001224045,0.003687498,0.00001618909,0.6833209,0.02716609,0.01287222],"study_design_scores_gemma":[0.0008467561,0.000005583119,0.1245432,0.00001338886,0.00006733114,0.000001191837,0.01413972,0.06650393,4.715146e-7,0.002005188,0.7914766,0.0003967075],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1297664,0.000148571,0.001284221,0.8201108,0.001111633,0.001139906,0.00002186654,0.0005073067,0.0459093],"genre_scores_gemma":[0.9639083,0.00005718461,0.0001077476,0.03047306,0.0004265676,0.00005981245,0.0003683471,0.00007070026,0.004528303],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8341419,"threshold_uncertainty_score":0.9991341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04840377492226621,"score_gpt":0.2505019865811743,"score_spread":0.2020982116589081,"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."}}