{"id":"W4408346835","doi":"10.1016/j.orgdyn.2025.101142","title":"Can global talent management be good for society?","year":2025,"lang":"en","type":"article","venue":"Organizational Dynamics","topic":"Human Resource and Talent Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Talent management; Business; Knowledge management; Management; Marketing; Computer science; Economics","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":[0.003811902,0.0005915423,0.0005945434,0.002191356,0.005638718,0.01477304,0.0009698264,0.003355484,0.01305754],"category_scores_gemma":[0.008527462,0.0001742438,0.0003776505,0.00285146,0.01697869,0.01513732,0.007328465,0.003070329,0.00190209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003210761,"about_ca_system_score_gemma":0.004183386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004438851,"about_ca_topic_score_gemma":0.006346344,"domain_scores_codex":[0.9979793,0.0006910242,0.00004512811,0.00021631,0.0003143114,0.0007539664],"domain_scores_gemma":[0.9960865,0.0008120862,0.0005948814,0.0004035335,0.0004880391,0.001614922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001015238,0.0001625964,0.02157034,0.0005791981,0.00008183615,0.0004201469,0.01549466,0.001081197,0.0005405628,0.7028596,0.05975835,0.1973499],"study_design_scores_gemma":[0.00002384592,0.0001652153,0.03536803,0.0009521813,0.00006762871,0.0002818188,0.03405761,0.0007273948,0.0004859526,0.6575412,0.2702376,0.0000914493],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1069277,0.01457711,0.004411667,0.4860078,0.002941386,0.00007013089,0.0002265503,0.0002409623,0.3845967],"genre_scores_gemma":[0.9605832,0.00716519,0.001556872,0.01916487,0.00120007,0.00006086762,0.00008998902,0.00005371451,0.01012525],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01477304,"threshold_uncertainty_score":0.0436818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00557280991374035,"score_gpt":0.2111098823736565,"score_spread":0.2055370724599162,"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."}}