{"id":"W3170095853","doi":"","title":"Cultivating Civic Belonging for Resettled Refugees","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refugee; Citizenship; Polity; Political science; Immigration; Government (linguistics); Refugee law; Immigration law; Civil society; Criminology; Sociology; Public administration; Law; Politics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001863433,0.0002430129,0.0001931113,0.000803706,0.01325783,0.00441595,0.0005639693,0.0007419916,0.004729303],"category_scores_gemma":[0.002150742,0.0001505295,0.0002347778,0.0003341798,0.008007095,0.00203838,0.008309815,0.002150121,0.0004422075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003462756,"about_ca_system_score_gemma":0.005506889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02640892,"about_ca_topic_score_gemma":0.1314524,"domain_scores_codex":[0.9991764,0.000392184,0.00001326733,0.00006585724,0.00007086147,0.0002813766],"domain_scores_gemma":[0.9986737,0.0001420323,0.0001041112,0.0001043982,0.0001109406,0.0008647445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004296274,0.0005903561,0.0584643,0.0001548258,0.00002140869,0.001370456,0.75906,0.0001950034,0.002966727,0.04214482,0.01130541,0.1236837],"study_design_scores_gemma":[0.00001263878,0.0001780584,0.04796924,0.0003038561,0.00001638714,0.0003083193,0.7763707,0.0002264949,0.0007413724,0.006170626,0.1676684,0.0000338087],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9404374,0.0003547271,0.0009979642,0.005880265,0.00009391009,0.00005639586,0.00001618668,0.00003297963,0.0521301],"genre_scores_gemma":[0.9917096,0.0002835512,0.0009106398,0.0004658431,0.00001220992,0.00001708197,0.00001950294,0.00001190355,0.006569697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02640892,"threshold_uncertainty_score":0.05251038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01761520081311088,"score_gpt":0.3151249223511432,"score_spread":0.2975097215380323,"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."}}