{"id":"W4224033238","doi":"10.15353/cfs-rcea.v9i1.525","title":"Seizing this COVID moment: What can Food Justice learn from Disability Justice?","year":2022,"lang":"en","type":"article","venue":"Canadian Food Studies / La Revue canadienne des études sur l alimentation","topic":"Urban Agriculture and Sustainability","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Economic Justice; Scholarship; Coronavirus disease 2019 (COVID-19); Inequality; Political science; Criminology; Pandemic; Sociology; Economic growth; Law; Economics; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.009391109,0.0006417359,0.001211657,0.002164757,0.03399213,0.02145449,0.003006992,0.01088415,0.01283411],"category_scores_gemma":[0.01564857,0.0002992963,0.000735548,0.002542822,0.06810452,0.01907166,0.009563418,0.01536879,0.001437343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05046007,"about_ca_system_score_gemma":0.08731721,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7403225,"about_ca_topic_score_gemma":0.8717344,"domain_scores_codex":[0.9939727,0.001689603,0.00008595948,0.0003488794,0.001137212,0.002765718],"domain_scores_gemma":[0.9870065,0.003972387,0.0005567828,0.0006117639,0.003213157,0.004639391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008988658,0.00008451482,0.003403392,0.0006288652,0.00003513459,0.0006309109,0.1244932,0.00008713818,0.0002387838,0.3948767,0.3955114,0.07992022],"study_design_scores_gemma":[0.00001709438,0.00005053295,0.004263701,0.001893362,0.00002403509,0.0001693301,0.2390867,0.00006599412,0.0001847329,0.1019938,0.6521558,0.00009493515],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.005794865,0.01560397,0.000544835,0.9449918,0.003442849,0.00001577147,0.000106911,0.00002562185,0.02947349],"genre_scores_gemma":[0.4339006,0.05341588,0.00251972,0.4708346,0.005854028,0.0000933733,0.0001909415,0.0001431895,0.03304761],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2596775,"threshold_uncertainty_score":0.5224135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04869519865548527,"score_gpt":0.232097374382085,"score_spread":0.1834021757265997,"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."}}