{"id":"W4383041217","doi":"10.1080/1369183x.2023.2227347","title":"The politics left behind: how pre-migration and migration experiences shape Syrian refugees’ interest in home-county politics","year":2023,"lang":"en","type":"article","venue":"Journal of Ethnic and Migration Studies","topic":"Diaspora, migration, transnational identity","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; McGill University; Centre for Social Innovation","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Refugee; Politics; Context (archaeology); Emigration; Immigration; Political science; Country of origin; Family ties; Political economy; Gender studies; Sociology; Development economics; Law; Geography; Economics; History; Genealogy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009956952,0.0002340329,0.0003232361,0.0005727603,0.003706284,0.004405311,0.0004104311,0.0005971891,0.004834216],"category_scores_gemma":[0.002286704,0.000209531,0.0002885597,0.0006267883,0.003100722,0.001473689,0.002818574,0.001421243,0.0004437412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001871323,"about_ca_system_score_gemma":0.002511787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05330225,"about_ca_topic_score_gemma":0.1553745,"domain_scores_codex":[0.9991248,0.0002709843,0.00003658728,0.00006785076,0.00007214689,0.0004276191],"domain_scores_gemma":[0.9989109,0.0002094711,0.0002448663,0.00004868906,0.0001082378,0.000477888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001672598,0.0002214205,0.6287632,0.00005791089,0.00005189654,0.0009815621,0.3528458,0.00006431951,0.0007238589,0.002089364,0.001286213,0.01274717],"study_design_scores_gemma":[0.000004524533,0.00005024044,0.45535,0.00006964154,0.00001029097,0.0001705961,0.5411362,0.00005066965,0.00006839955,0.0002374427,0.002837965,0.00001398295],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978778,0.0001138912,0.0000131846,0.0002695395,0.000007193268,0.000002577688,0.00001689333,6.527125e-7,0.001698382],"genre_scores_gemma":[0.9992421,0.0001231801,0.00001384929,0.00006966644,0.00000315857,0.000003106542,0.00002397165,0.000001428962,0.0005194441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05330225,"threshold_uncertainty_score":0.105984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09223351099300753,"score_gpt":0.3901966220266849,"score_spread":0.2979631110336773,"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."}}