{"id":"W1973789168","doi":"10.1080/713680503","title":"Re-reading Arab World‐New World immigration history: Beyond the prewar/postwar divide","year":2000,"lang":"en","type":"article","venue":"Journal of Ethnic and Migration Studies","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Heriot-Watt University","keywords":"Immigration; World War II; Reading (process); Narrative; Theme (computing); First world war; History; Settlement (finance); World history; Political economy; Political science; Economic history; Sociology; Ancient history; Law; Literature; Art; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.001785151,0.0001539069,0.0003203605,0.0002011629,0.0006926899,0.00006733453,0.0001759501,0.00005655657,0.0006171609],"category_scores_gemma":[0.0002491493,0.0001077685,0.0001389883,0.0003830208,0.0003079892,0.0008079317,0.0000195235,0.0002530723,0.00001877894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002912017,"about_ca_system_score_gemma":0.0002495786,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001825444,"about_ca_topic_score_gemma":0.2988308,"domain_scores_codex":[0.9983541,0.0002750106,0.0006101003,0.0001659612,0.0003611519,0.0002337273],"domain_scores_gemma":[0.9985008,0.0004947442,0.0004807466,0.0001277504,0.0002676605,0.0001283156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007303153,0.00004366467,0.005723897,0.00001396959,0.000172366,0.000002582193,0.298259,0.00009162676,0.00006208989,0.003200903,0.6488762,0.04348069],"study_design_scores_gemma":[0.0004341163,0.0001021126,0.01780466,0.0000998798,0.0001733208,0.000004135671,0.03745967,0.00003721403,0.00008769434,0.007395067,0.9361872,0.0002149257],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6873521,0.1961249,0.001068256,0.07451964,0.002170159,0.0006737614,0.000005352816,0.00007661395,0.03800923],"genre_scores_gemma":[0.7931609,0.0559627,0.0003698833,0.002014915,0.002156138,0.00001815552,0.00000296886,0.00001514004,0.1462992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2970053,"threshold_uncertainty_score":0.7139637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07315191730259506,"score_gpt":0.3359429525840568,"score_spread":0.2627910352814617,"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."}}