{"id":"W4254679642","doi":"10.3138/chr.88.2.291","title":"‘Narrow-Minded People’: Canadian Universities and the Academic Refugee Crises, 1933–1941","year":2007,"lang":"en","type":"article","venue":"Canadian Historical Review","topic":"Historical Studies and Socio-cultural Analysis","field":"Arts and Humanities","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refugee; German; Political science; Corporation; Sociology; Public administration; Law; History","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002837223,0.0004670945,0.0006175858,0.005195018,0.03272562,0.008825625,0.001983645,0.003035986,0.008648085],"category_scores_gemma":[0.005976436,0.0003841947,0.0002656879,0.01623336,0.01927964,0.00287064,0.004040911,0.003239115,0.0004937304],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1817824,"about_ca_system_score_gemma":0.1758808,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9925168,"about_ca_topic_score_gemma":0.9946635,"domain_scores_codex":[0.9971052,0.0003227738,0.00007178659,0.000170404,0.0007327367,0.001597114],"domain_scores_gemma":[0.9973692,0.0003748053,0.0002589815,0.00006289368,0.001086877,0.0008473473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001685196,0.00006677899,0.01572523,0.001230784,0.00004493046,0.002381408,0.4803017,0.0004157453,0.0003839287,0.287804,0.1157536,0.09572338],"study_design_scores_gemma":[0.00001298934,0.00002027453,0.0329469,0.0009699922,0.00002371214,0.0003488675,0.2009757,0.00005221078,0.000117273,0.003517875,0.760938,0.00007617671],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.332109,0.2031477,0.0003381413,0.1306554,0.001668026,0.0001293723,0.001358638,0.00004422622,0.3305495],"genre_scores_gemma":[0.9029786,0.06497137,0.0001608022,0.007178033,0.0002019897,0.00003534749,0.0002208955,0.00002472507,0.02422824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9672744,"threshold_uncertainty_score":0.9490165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02767065473762714,"score_gpt":0.2283757253785548,"score_spread":0.2007050706409277,"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."}}