{"id":"W3121821880","doi":"10.1177/0042098020976308","title":"Urban migrant and refugee solidarity beyond city limits","year":2021,"lang":"en","type":"article","venue":"Urban Studies","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Solidarity; Refugee; Political science; State (computer science); Sociology; Economic growth; Geography; Politics; Law; Economics","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":[0.001668154,0.0002381086,0.000276161,0.000930028,0.00698432,0.005161055,0.0005531877,0.0008478165,0.005695485],"category_scores_gemma":[0.002434989,0.0001997409,0.0002094864,0.00131585,0.0112819,0.004276732,0.01042003,0.001322303,0.0003008799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001895545,"about_ca_system_score_gemma":0.002577993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007886282,"about_ca_topic_score_gemma":0.01733696,"domain_scores_codex":[0.9975703,0.001543761,0.00006289173,0.0001447181,0.0001497971,0.0005283798],"domain_scores_gemma":[0.9988467,0.0003794241,0.0002748035,0.0001098797,0.00009178246,0.0002974611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006599902,0.00004651336,0.02202672,0.0001548524,0.00002221083,0.00162015,0.6834781,0.0004728495,0.0006139849,0.2676168,0.004699863,0.01918196],"study_design_scores_gemma":[0.000006746873,0.00003506251,0.02759799,0.0002943075,0.00001134204,0.0003313352,0.8840526,0.0001490356,0.0001587955,0.016023,0.07131959,0.00002026179],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8991625,0.001653388,0.001585331,0.008447582,0.00007437985,0.0000240425,0.00005890392,0.00001457261,0.08897918],"genre_scores_gemma":[0.9967455,0.0003999121,0.0001491304,0.0001976304,0.000007859209,0.00001567618,0.00001496845,0.000004347389,0.002465089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007886282,"threshold_uncertainty_score":0.01905334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04627409877114089,"score_gpt":0.3300734577879185,"score_spread":0.2837993590167776,"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."}}