{"id":"W301660376","doi":"","title":"Haideh Moghissi, Saeed Rahnema and Mark J. Goodman. Diaspora by Design: Muslim Immigrants in Canada and Beyond","year":2009,"lang":"en","type":"article","venue":"Canadian ethnic studies","topic":"Diaspora, migration, transnational identity","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Diaspora; Context (archaeology); Settlement (finance); Refugee; Educational attainment; Gender studies; Census; Geography; Political science; Sociology; Economic growth; Demography; Population; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007938258,0.0001830174,0.0003050503,0.0001877744,0.0003825058,0.00003502478,0.0001617862,0.00008431602,0.00003467236],"category_scores_gemma":[0.0004478091,0.0002009457,0.00002456365,0.0004974562,0.0003225239,0.0002517278,0.00001297849,0.0001525374,0.000002092596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001293462,"about_ca_system_score_gemma":0.002755752,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9985923,"about_ca_topic_score_gemma":0.9999871,"domain_scores_codex":[0.9982888,0.0001815068,0.0002875457,0.0003465617,0.000362398,0.0005332464],"domain_scores_gemma":[0.9988794,0.0003279087,0.00007435589,0.0001212223,0.0001382802,0.0004587895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00005964552,0.00009454818,0.1322796,0.00009828462,0.0003863722,0.0004662561,0.341923,0.0001018075,0.0001769235,0.01114074,0.2627821,0.2504907],"study_design_scores_gemma":[0.0003175486,0.00002409869,0.9306819,0.00002528087,0.00002309573,0.000001242474,0.06449728,0.00001563909,0.00001311503,0.00320377,0.0009496012,0.0002474413],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9343129,0.0491756,0.000007907695,0.01456739,0.0002353395,0.0004688548,0.00009817746,0.00002051965,0.001113272],"genre_scores_gemma":[0.9903629,0.00652713,0.00009146021,0.002263991,0.00005047212,0.00001909691,0.00001053981,0.000009729392,0.0006647195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7984022,"threshold_uncertainty_score":0.8194328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06920411905468235,"score_gpt":0.3311733440009995,"score_spread":0.2619692249463171,"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."}}