{"id":"W2981447569","doi":"10.1007/978-3-030-11557-9_6","title":"‘After the revolution, who’s going to pick up the garbage on Monday morning?’ Cartoneros and Sanmen in the Age of Financial Crises","year":2019,"lang":"en","type":"book-chapter","venue":"","topic":"Art, Politics, and Modernism","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Austerity; Context (archaeology); Financial crisis; Political science; History; Politics; Economics; 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":[0.001284443,0.0005227213,0.0003550153,0.0007087599,0.01161798,0.01218075,0.0007369554,0.004291106,0.0367723],"category_scores_gemma":[0.003240621,0.000354103,0.0002506408,0.001338327,0.01074717,0.008639782,0.002854572,0.009114011,0.00558491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008415631,"about_ca_system_score_gemma":0.006513032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0495373,"about_ca_topic_score_gemma":0.1070167,"domain_scores_codex":[0.9990103,0.0003659881,0.00001503546,0.00009640869,0.0001731619,0.0003390703],"domain_scores_gemma":[0.9993399,0.0001945936,0.00006193365,0.00004823108,0.000142582,0.0002126894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003065252,0.00001626444,0.000217716,0.00003696624,0.000002315874,0.00009052279,0.01347676,0.0000278935,0.00005398403,0.3896877,0.5827511,0.01360797],"study_design_scores_gemma":[0.000005214507,0.000003103455,0.0003625707,0.00009265634,8.878872e-7,0.00002803488,0.006817618,0.00001730199,0.0000342684,0.01357725,0.9790551,0.000005830466],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00705865,0.02127327,0.0002644764,0.2892931,0.005330377,0.0000148862,0.0001286881,0.00004767143,0.6765889],"genre_scores_gemma":[0.1494064,0.01174782,0.0002651868,0.05819946,0.002651383,0.00003909518,0.0001182733,0.0002058801,0.7773665],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0495373,"threshold_uncertainty_score":0.1230156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04370684061113624,"score_gpt":0.2369196548462522,"score_spread":0.1932128142351159,"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."}}