{"id":"W4307210254","doi":"10.5206/ijoh.2022.2.14969","title":"“How about Asylum Seekers who are Homeless?” The Racialised Logics Behind State Designed Strategies of Containment and Control During Covid-19 and Anti-Racist Alternatives: A Glasgow Case Study","year":2022,"lang":"en","type":"article","venue":"International Journal on Homelessness","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refugee; Government (linguistics); Accommodation; Sociology; Criminology; State (computer science); Corporate governance; Political science; Pandemic; Power (physics); Law; Public administration; Coronavirus disease 2019 (COVID-19); Psychology; Medicine; Management; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004822981,0.0005062215,0.0005297803,0.001260492,0.02375591,0.006380655,0.001989376,0.005612993,0.004607879],"category_scores_gemma":[0.007976976,0.0003794534,0.0004496168,0.001532608,0.03002531,0.006243856,0.0089114,0.005236422,0.0005644947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008698761,"about_ca_system_score_gemma":0.004830671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06392729,"about_ca_topic_score_gemma":0.1128897,"domain_scores_codex":[0.9930581,0.004818179,0.0001275598,0.0002590787,0.0003890226,0.001347993],"domain_scores_gemma":[0.9963979,0.001590687,0.0006834766,0.000157274,0.0002522145,0.0009185126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001251854,0.00004538798,0.004205182,0.0000707161,0.000005074394,0.004807007,0.9619161,0.00003551762,0.0001347108,0.01858831,0.006286829,0.003892597],"study_design_scores_gemma":[0.000005434699,0.0000385277,0.001711329,0.0001326313,0.000005013698,0.001283598,0.9710967,0.00003668753,0.00003527044,0.002185603,0.02345506,0.00001421732],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7999989,0.002934907,0.001182482,0.1617711,0.0003779164,0.000189002,0.00008725544,0.00003216301,0.03342627],"genre_scores_gemma":[0.9807755,0.001608841,0.0005350683,0.01124223,0.0001002474,0.00009288522,0.00001930963,0.00001586719,0.005610079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06392729,"threshold_uncertainty_score":0.1271104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04001175893833065,"score_gpt":0.3888882596599962,"score_spread":0.3488765007216656,"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."}}