{"id":"W6990111934","doi":"","title":"Creating Global Citizens: Exploring Internationalization at HBCUs","year":2014,"lang":"en","type":"article","venue":"VTechWorks (Virginia Tech)","topic":"International Student and Expatriate Challenges","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"Internationalization; Historically black colleges and universities; Higher education; Internationalization of Higher Education; Process (computing); Dissemination","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008352946,0.0005679444,0.0003241437,0.002035613,0.02399077,0.01379134,0.001188965,0.002277569,0.005514491],"category_scores_gemma":[0.005102214,0.0002972432,0.0003538921,0.002199216,0.01661679,0.01020362,0.01648978,0.006452314,0.0003488649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006876215,"about_ca_system_score_gemma":0.01907985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0151767,"about_ca_topic_score_gemma":0.04366126,"domain_scores_codex":[0.9927215,0.004838177,0.00005298766,0.0002112212,0.0004692842,0.001706711],"domain_scores_gemma":[0.9941329,0.002066683,0.0005350818,0.000268959,0.0005301765,0.002466153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001843258,0.0001721474,0.01378546,0.00009491316,0.00001167181,0.0004179372,0.9165805,0.00006863416,0.0004227603,0.04147676,0.006265413,0.02068532],"study_design_scores_gemma":[0.000002758058,0.00002612616,0.002770385,0.0000758987,0.000003485508,0.00004671019,0.9632692,0.00003526546,0.0001760341,0.003149034,0.0304383,0.000006836683],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8548166,0.0009074667,0.002455459,0.02794852,0.0003424193,0.0001621408,0.00005137953,0.00003720673,0.1132788],"genre_scores_gemma":[0.9873373,0.000868336,0.001233599,0.00304767,0.00004156319,0.00009123123,0.00003783845,0.00003650288,0.007306152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02399077,"threshold_uncertainty_score":0.0498907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04203670527646914,"score_gpt":0.3172060742765294,"score_spread":0.2751693690000602,"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."}}