{"id":"W3187174252","doi":"10.4018/978-1-7998-7422-5.ch005","title":"Knowledge Management in Emergent Amateur Organizational Cultures","year":2021,"lang":"en","type":"book-chapter","venue":"Advances in knowledge acquisition, transfer, and management book series/Advances in knowledge acquisition, transfer and management book series","topic":"Business Strategy and Innovation","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sheridan College","funders":"","keywords":"Amateur; Knowledge management; Tacit knowledge; Context (archaeology); Graduation (instrument); Organizational learning; Work (physics); Engineering; Computer science; Political science; Geography","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":[0.00154496,0.0003001255,0.0002225379,0.00141415,0.004612461,0.01274475,0.0009582799,0.00101949,0.00522634],"category_scores_gemma":[0.002282087,0.0001862153,0.0002445992,0.001252644,0.005615032,0.006359233,0.004409921,0.001398512,0.001061103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003789461,"about_ca_system_score_gemma":0.002555488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004402194,"about_ca_topic_score_gemma":0.005815666,"domain_scores_codex":[0.9990243,0.0004136723,0.00003294472,0.000131032,0.0002602411,0.0001377673],"domain_scores_gemma":[0.9990507,0.0003965588,0.00007065854,0.0001216674,0.0001902504,0.0001702696],"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":[0.00001719205,0.00005710014,0.00158631,0.000221762,0.00001914489,0.0006643746,0.1261197,0.0006947791,0.001614615,0.6653883,0.01699999,0.1866167],"study_design_scores_gemma":[0.000006913474,0.00004766577,0.003846782,0.0004488073,0.00001129024,0.0006627878,0.07021894,0.002366381,0.0009557715,0.2926503,0.6287577,0.00002680466],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1443095,0.00952004,0.03311144,0.01211096,0.0004541851,0.0001072442,0.0000415569,0.0002147218,0.8001303],"genre_scores_gemma":[0.789693,0.007186787,0.02079963,0.001879146,0.0002784382,0.0001919577,0.0001007634,0.000135282,0.179735],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01274475,"threshold_uncertainty_score":0.02749455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008387496419887275,"score_gpt":0.2379973348388446,"score_spread":0.2296098384189573,"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."}}