{"id":"W3045856179","doi":"10.32674/jis.v10i2.961","title":"Geographic Embeddedness of Higher Education Institutions in the Migration Policy Domain","year":2020,"lang":"en","type":"article","venue":"Journal of International Students","topic":"Education and experiences of immigrants and refugees","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Embeddedness; Immigration; Higher education; Corporate governance; Immigration policy; Higher education policy; International education; Political science; State (computer science); Enrollment management; Public relations; Public administration; Economic growth; Education policy; Sociology; Management; Social science; Law; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003019888,0.0001160593,0.0002648598,0.001799349,0.006446495,0.006929389,0.0008409939,0.0006511016,0.006772749],"category_scores_gemma":[0.01060788,0.0001629462,0.0001607793,0.003553598,0.006507906,0.002500218,0.007531457,0.001208388,0.0003616647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01043811,"about_ca_system_score_gemma":0.01577306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1837541,"about_ca_topic_score_gemma":0.2868954,"domain_scores_codex":[0.9965754,0.000986413,0.0001632379,0.000276393,0.0005659109,0.001432523],"domain_scores_gemma":[0.9917185,0.00178742,0.001962359,0.0004740749,0.001083963,0.002973638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002377559,0.0001741042,0.6150295,0.0003243245,0.00008279567,0.0008801949,0.2103529,0.0008383378,0.001539822,0.08661777,0.005154415,0.07876802],"study_design_scores_gemma":[0.00001302889,0.00006370981,0.5969126,0.0004535847,0.00001946931,0.0002396545,0.3549907,0.0002311591,0.0002643724,0.00437811,0.04238659,0.00004685202],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9684152,0.0006047638,0.0004512604,0.004492293,0.00002662816,0.00002633875,0.0001601407,0.00001301003,0.02581034],"genre_scores_gemma":[0.9982894,0.0001404896,0.00009155664,0.0002030572,0.00000574359,0.000006577402,0.0000394602,0.000004417198,0.00121928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1837541,"threshold_uncertainty_score":0.365369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03278872044747939,"score_gpt":0.4279034158252151,"score_spread":0.3951146953777357,"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."}}