{"id":"W4391789672","doi":"10.2139/ssrn.4724193","title":"Out-Group Penalties in Refugee Assistance: A Survey Experiment","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Asian Geopolitics and Ethnography","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Refugee; Group (periodic table); Psychology; Political science; Physics; 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":[0.008844592,0.0006950771,0.0007404449,0.0006330175,0.004069888,0.002617872,0.001196789,0.0026944,0.007456739],"category_scores_gemma":[0.02943941,0.0009727162,0.0003600005,0.0006643178,0.002161765,0.002164879,0.002129764,0.002919136,0.001190625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009826986,"about_ca_system_score_gemma":0.002257467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00711888,"about_ca_topic_score_gemma":0.008440222,"domain_scores_codex":[0.9931636,0.004595929,0.0003386175,0.0005691597,0.0004186689,0.0009140995],"domain_scores_gemma":[0.95162,0.03133212,0.007000663,0.003937325,0.00153565,0.004574275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03456656,0.2191012,0.5820147,0.0003208266,0.0003312414,0.001038151,0.1193101,0.001379484,0.006271421,0.002911861,0.002968907,0.02978563],"study_design_scores_gemma":[0.004728635,0.0795296,0.7201362,0.0001313719,0.0002735804,0.0004972587,0.1788828,0.004025391,0.00370043,0.002200494,0.005673005,0.0002212602],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99918,0.000005247159,0.00005706886,0.00004399807,0.000005490088,0.00009089275,0.00003614899,0.000001997753,0.0005791794],"genre_scores_gemma":[0.998032,0.00001981085,0.0002506017,0.0001219017,0.000008768131,0.0003575445,0.00006981965,0.000002755935,0.001136848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008844592,"threshold_uncertainty_score":0.04677528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02918821631446577,"score_gpt":0.3461612787439409,"score_spread":0.3169730624294751,"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."}}