{"id":"W4243265679","doi":"10.32920/ryerson.14656353","title":"Deprivation and Deservingness: Exploring Basic Income in Response to Immigrant Poverty","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Poverty; Framing (construction); Immigration; Basic income; Redistribution of income and wealth; Welfare; Social capital; Argument (complex analysis); Political science; Social exclusion; Redistribution (election); Sociology; Demographic economics; Development economics; Economic growth; Economics; Unemployment; Social science; Geography; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002002831,0.000194642,0.0003545972,0.001194576,0.002871423,0.003047768,0.0006311403,0.0004823488,0.003213848],"category_scores_gemma":[0.004501428,0.00007271177,0.0003381041,0.002347744,0.005288438,0.001211601,0.002870962,0.001280161,0.00008050547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01678306,"about_ca_system_score_gemma":0.02138777,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6752407,"about_ca_topic_score_gemma":0.8229827,"domain_scores_codex":[0.9990287,0.0003356997,0.00002388394,0.0000493912,0.0002066568,0.0003556672],"domain_scores_gemma":[0.9988034,0.0003758825,0.0001847314,0.00002542726,0.0003410832,0.0002694882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007445539,0.0003333633,0.2843176,0.002531006,0.0002411264,0.0008972686,0.3494205,0.0007318371,0.00125045,0.09554129,0.01028367,0.2537074],"study_design_scores_gemma":[0.00001464389,0.0001313304,0.55266,0.001507486,0.0001001058,0.0001116341,0.391468,0.000237598,0.0002712633,0.01327143,0.04019115,0.00003532209],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8834724,0.02351964,0.0005589156,0.02354077,0.0001958963,0.00007727712,0.0003936421,0.000009686914,0.06823176],"genre_scores_gemma":[0.986297,0.008481245,0.0002913321,0.001132267,0.00003660051,0.00002835006,0.00008081456,0.000006817296,0.003645556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6752407,"threshold_uncertainty_score":0.6533437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1176142892053822,"score_gpt":0.3910946417612387,"score_spread":0.2734803525558565,"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."}}