{"id":"W3015179656","doi":"10.1080/19186444.2020.1741296","title":"Inclusive talent management in the public sector: theory and practice","year":2020,"lang":"en","type":"article","venue":"Transnational Corporation Review","topic":"Human Resource and Talent Management","field":"Business, Management and Accounting","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Talent management; Scope (computer science); Context (archaeology); Public sector; Knowledge transfer; Social capital; Human capital; Process (computing); Public relations; Sociology; Business; Knowledge management; Management; Economics; Political science; Marketing; Economic growth; Social science; Economy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001730107,0.0001359016,0.0001464568,0.00009381752,0.0002318026,0.0003721645,0.0003083289,0.00002121282,0.0004200609],"category_scores_gemma":[0.0001863846,0.0001021265,0.00005204113,0.0003926936,0.00005259553,0.001300639,0.0001081247,0.0001110128,0.00009604858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001897666,"about_ca_system_score_gemma":0.000009521238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002910458,"about_ca_topic_score_gemma":0.00002341339,"domain_scores_codex":[0.9986892,0.0001226871,0.0003240852,0.0002466054,0.0004933166,0.0001241131],"domain_scores_gemma":[0.9993036,0.0001370097,0.0002683697,0.0001667311,0.0001109331,0.0000133502],"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":[0.00002605663,0.00005892049,0.0001225377,0.001439238,0.00003106397,0.00002437108,0.00008386884,0.000007712028,0.000002428872,0.9895641,0.003425133,0.005214587],"study_design_scores_gemma":[0.0005060228,0.00001196811,0.005972521,0.0001182552,0.0001740656,0.000003970905,0.0004994028,0.0003251545,2.645121e-7,0.01943513,0.972783,0.0001702541],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.005406475,0.008508722,0.004342403,0.8401057,0.0001213572,0.003133575,0.000005996354,0.00009613024,0.1382797],"genre_scores_gemma":[0.8889657,0.002561334,0.0001598414,0.1077967,0.0002087698,0.0001382816,0.0001076712,0.00001237769,0.00004927451],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.970129,"threshold_uncertainty_score":0.4599372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05059149396637326,"score_gpt":0.2823691008208837,"score_spread":0.2317776068545104,"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."}}