{"id":"W2322405743","doi":"10.1332/030557312x655936","title":"Managing poverty, managing dissent: homeless politics and collective action in London","year":2014,"lang":"en","type":"article","venue":"Policy & Politics","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Dissent; Collective action; Poverty; Politics; Punitive damages; Opposition (politics); Social movement; Political science; Sociology; Government (linguistics); Psychological intervention; Political economy; Public administration; Public relations; Law; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003938518,0.000262591,0.0006254205,0.0005281604,0.0009105984,0.00004834923,0.0001682493,0.0002432048,0.00002857776],"category_scores_gemma":[0.0003106875,0.0002713016,0.00006072616,0.0004162601,0.0001442809,0.0001846394,0.0002007549,0.0005860616,0.00004749711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001041978,"about_ca_system_score_gemma":0.0003243327,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02476915,"about_ca_topic_score_gemma":0.007746439,"domain_scores_codex":[0.9971129,0.0005173479,0.0005099744,0.0003431222,0.0002541752,0.001262486],"domain_scores_gemma":[0.9985105,0.0005951013,0.0001723147,0.0002916742,0.0001185773,0.0003118195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001615244,0.00007845902,0.1697591,0.0007088593,0.00003355109,0.000008770574,0.04502976,0.00001474302,0.00004202504,0.7787123,0.0001505254,0.005445705],"study_design_scores_gemma":[0.002259344,0.0001044189,0.3505206,0.0006649944,0.00006923445,0.000001944484,0.09278002,0.00380049,0.0002576211,0.5358097,0.01296433,0.0007672662],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.925351,0.0001847141,0.0004897183,0.005155656,0.0004097348,0.0004749047,0.0000375009,0.0001289834,0.06776779],"genre_scores_gemma":[0.9920916,0.0005360445,0.00006493497,0.001690763,0.001243927,0.00005769004,0.00001760417,0.000063743,0.004233689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2429026,"threshold_uncertainty_score":0.9999739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04773380645952823,"score_gpt":0.4173399540755351,"score_spread":0.3696061476160069,"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."}}