{"id":"W4389737526","doi":"10.1017/nps.2023.82","title":"Syrian, Armenian, and Lebanese Claims to Whiteness in Post-War Canadian Immigration Policy","year":2023,"lang":"en","type":"article","venue":"Nationalities Papers","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"University of Cambridge","keywords":"Immigration; Political science; Politics; Immigration policy; Context (archaeology); Government (linguistics); Immigration reform; White (mutation); Armenian; Immigration law; World War II; Law; Public administration; History; Ancient history","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":[0.003669145,0.0003228912,0.0003037184,0.002716783,0.03448281,0.00837526,0.001036405,0.001731053,0.005520781],"category_scores_gemma":[0.005402971,0.0002586589,0.0002512692,0.002695449,0.01140092,0.001172279,0.004725771,0.002995304,0.0001840852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09729325,"about_ca_system_score_gemma":0.1000909,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9893547,"about_ca_topic_score_gemma":0.9943051,"domain_scores_codex":[0.9966324,0.000405568,0.00006370178,0.0001590819,0.0006320259,0.002107252],"domain_scores_gemma":[0.9969286,0.0006123449,0.0002424941,0.00007876867,0.0009662926,0.001171568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002315254,0.0000938078,0.07613515,0.0002006002,0.00006640149,0.001609583,0.381378,0.0005607129,0.002315575,0.4357571,0.0454849,0.05616658],"study_design_scores_gemma":[0.00003071143,0.00005508969,0.1597548,0.0007301564,0.00006762009,0.0001844721,0.5387219,0.0005641173,0.0009608853,0.007317936,0.2914253,0.0001870201],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8011057,0.002646507,0.0001371043,0.03277938,0.0002142641,0.00003757307,0.0001534889,0.0000114001,0.1629145],"genre_scores_gemma":[0.9842865,0.000994176,0.00007541431,0.002409248,0.00002400497,0.00000813419,0.00003603961,0.000006490387,0.01215998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09729325,"threshold_uncertainty_score":0.7059152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01136935253347642,"score_gpt":0.3001210816521899,"score_spread":0.2887517291187134,"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."}}