{"id":"W3162806470","doi":"10.18357/anthropologica6312021272","title":"Encounters of Despair: Street-Level Bureaucrat and Migrant Interactions in Sweden and Switzerland","year":2021,"lang":"en","type":"article","venue":"Anthropologica","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"CONTEST; Negotiation; State (computer science); Power (physics); Politics; Sociology; Political economy; Enforcement; Ethnography; Political science; Criminology; Law; Social science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001690172,0.00007221016,0.0001412711,0.00005888051,0.000346229,0.00003753226,0.00005009162,0.00005983908,0.0003249832],"category_scores_gemma":[0.0001903834,0.00005782094,0.00002719782,0.0001622414,0.0005524998,0.000190178,0.00002141238,0.00008161778,0.000001401311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002260326,"about_ca_system_score_gemma":0.00006650569,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01222678,"about_ca_topic_score_gemma":0.3276806,"domain_scores_codex":[0.9992662,0.0001355425,0.0001821133,0.0001753089,0.0001096803,0.0001311333],"domain_scores_gemma":[0.9996288,0.0001169146,0.00006420819,0.0000762895,0.00006806871,0.00004567859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007474896,0.0004302866,0.7652742,0.00005087762,0.00006663994,0.00004419432,0.1134021,0.000005309413,0.01590855,0.07576833,0.007353453,0.02162131],"study_design_scores_gemma":[0.001201879,0.0004663962,0.4509042,0.0002669482,0.00007129296,0.00002976696,0.3938465,0.0003728358,0.00990068,0.01242184,0.1299539,0.0005637544],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928754,0.0009881684,0.000233775,0.00185477,0.0001614119,0.00009475951,0.00001324576,0.00001641128,0.003762036],"genre_scores_gemma":[0.9959687,0.002702304,0.0004893388,0.00008775388,0.00004513289,0.000005800115,0.00001148245,0.000002772879,0.0006867286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3154538,"threshold_uncertainty_score":0.9943509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06203068261820485,"score_gpt":0.3720105647352533,"score_spread":0.3099798821170485,"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."}}