{"id":"W4380668342","doi":"10.1108/s1479-367920230000044011","title":"Internationalization Disrupted: Advancing STEM Training in Africa Beyond COVID-19","year":2023,"lang":"en","type":"book-chapter","venue":"International perspectives on education and society","topic":"Higher Education Practises and Engagement","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Internationalization; Employability; Political science; Coronavirus disease 2019 (COVID-19); International education; Pandemic; Higher education; Economic growth; Public relations; Sociology; Pedagogy; Business; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001025048,0.0002328255,0.0002061213,0.000330194,0.0004776269,0.0002139018,0.00027485,0.0002307416,0.001459546],"category_scores_gemma":[0.0004206299,0.0002705329,0.0001585243,0.0001390321,0.0002151034,0.0003467704,0.00005542983,0.0004571453,0.00008676972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002528381,"about_ca_system_score_gemma":0.002012658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003975557,"about_ca_topic_score_gemma":0.0005432186,"domain_scores_codex":[0.9979715,0.0000946937,0.0003686252,0.0005738092,0.0007436794,0.0002476723],"domain_scores_gemma":[0.9984699,0.0005055885,0.0003006153,0.0001508194,0.0003205001,0.000252593],"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":[0.000007628291,0.00008495209,0.00007960974,0.0000117354,0.00007404887,0.000001138897,0.2943287,0.00007325712,0.000001142124,0.6792531,0.02045844,0.005626168],"study_design_scores_gemma":[0.0001724629,0.00001548789,0.0003111089,0.00008914681,0.00001388671,0.000001214856,0.3288081,0.00006009164,1.985048e-7,0.03824747,0.63207,0.0002108621],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005098047,0.0004413189,0.0004000519,0.02663782,0.003552716,0.0004393419,0.00006761825,0.0001548268,0.9677965],"genre_scores_gemma":[0.1230588,0.007982068,0.0004273141,0.002044302,0.001398527,0.0001146782,0.0001980872,0.00006204502,0.8647142],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6410056,"threshold_uncertainty_score":0.9999747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07791675014610808,"score_gpt":0.3913990113998076,"score_spread":0.3134822612536995,"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."}}