{"id":"W3156560215","doi":"","title":"Worked to the Bone: COVID-19, the Agri-Food Labour Force, and the Need for More Compassionate Post-Pandemic Food Systems (preprint)","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Food Waste Reduction and Sustainability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Pandemic; Business; Food systems; Supply chain; Food safety; Coronavirus disease 2019 (COVID-19); Food security; Marketing; Infectious disease (medical specialty); Geography; Agriculture; Medicine; Disease","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":[0.00176877,0.000311871,0.0002105319,0.0004096225,0.00599884,0.007718516,0.0005624113,0.002730967,0.01206911],"category_scores_gemma":[0.001699703,0.000153279,0.0002393635,0.0008204534,0.005806525,0.004722989,0.004285824,0.003316141,0.001924465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003720584,"about_ca_system_score_gemma":0.004029053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008550428,"about_ca_topic_score_gemma":0.01984444,"domain_scores_codex":[0.9991201,0.0003117384,0.00001808982,0.00008224056,0.000177058,0.0002907492],"domain_scores_gemma":[0.9992854,0.0002770973,0.00007156746,0.00002328662,0.0001155019,0.0002271338],"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":[0.0001021631,0.0001042296,0.004755112,0.0005132676,0.00001684596,0.0006888369,0.07628932,0.0001647461,0.0007792785,0.2203691,0.564229,0.1319882],"study_design_scores_gemma":[0.000007744205,0.00005246474,0.005685714,0.0008123849,0.000004958078,0.0001945817,0.07294901,0.00004559042,0.0002892217,0.03578671,0.884145,0.00002650985],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04568334,0.08651246,0.001048158,0.7123064,0.0114478,0.00003380876,0.0001353299,0.00005802779,0.1427748],"genre_scores_gemma":[0.4817707,0.1192851,0.002523732,0.2021203,0.008466817,0.0001324425,0.000292828,0.0001885966,0.1852196],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01206911,"threshold_uncertainty_score":0.04037517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01378685434864976,"score_gpt":0.244028837525871,"score_spread":0.2302419831772213,"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."}}