{"id":"W1903984320","doi":"10.1111/j.1533-8525.2007.00106.x","title":"The Transnational Geographies of Immigrant Politics: Insights from a Comparative Study of Migrant Grassroots Organizing","year":2008,"lang":"en","type":"article","venue":"Sociological Quarterly","topic":"Diaspora, migration, transnational identity","field":"Social Sciences","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Grassroots; Immigration; Politics; Settlement (finance); Sociology; Identity (music); Gender studies; Biology and political orientation; Political science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001004341,0.0001606212,0.0002050038,0.001988097,0.003786087,0.003202914,0.0003906834,0.0005079884,0.004678686],"category_scores_gemma":[0.002600802,0.0001220371,0.0001172292,0.003057619,0.005142035,0.003075148,0.002551763,0.000558707,0.0001798055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002048143,"about_ca_system_score_gemma":0.001123321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02159902,"about_ca_topic_score_gemma":0.06118999,"domain_scores_codex":[0.9994125,0.0004077367,0.00001298655,0.00004582997,0.00003481417,0.00008611267],"domain_scores_gemma":[0.9991547,0.0005186932,0.0001193888,0.0000689822,0.00005512164,0.00008313054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00002296109,0.00001611323,0.01266425,0.00006617056,0.00000676218,0.0005512768,0.9502347,0.00005290879,0.000288515,0.02076102,0.0006214336,0.01471395],"study_design_scores_gemma":[0.000002091798,0.00001281615,0.02173105,0.00005215355,0.00000510993,0.0001852985,0.9626793,0.00005897802,0.00004950473,0.001649971,0.01356965,0.000004130207],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.965306,0.001233708,0.0004751443,0.001238962,0.00002282135,0.00001036727,0.00005332837,0.000006461437,0.03165321],"genre_scores_gemma":[0.9979468,0.0007195034,0.0001194731,0.00004624871,0.000007873907,0.00001086497,0.00003170906,0.000007098891,0.001110364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02159902,"threshold_uncertainty_score":0.04294664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0527371648581378,"score_gpt":0.3100255230297854,"score_spread":0.2572883581716476,"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."}}