{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003395765,0.0001657274,0.0002352388,0.00001249381,0.001495904,0.0002580156,0.0004428033,0.00008210026,0.00002367348],"category_scores_gemma":[0.0007672395,0.00004120809,0.0002079943,0.0003639813,0.000177102,0.00007349072,0.0001449483,0.0009289584,0.000002340364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003561146,"about_ca_system_score_gemma":0.0007151345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00015475,"about_ca_topic_score_gemma":0.002656177,"domain_scores_codex":[0.9974796,0.0005404743,0.0003250612,0.0002845793,0.0002841671,0.00108614],"domain_scores_gemma":[0.998482,0.0007107604,0.0001556205,0.0001451266,0.000329116,0.000177332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.003210047,0.0002809636,0.003110341,0.0001051689,0.0009776851,0.000006038448,0.003673838,0.005215615,0.007291907,0.8072158,0.00289383,0.1660188],"study_design_scores_gemma":[0.003344399,0.002154139,0.01512645,0.00004589663,0.0001238869,0.003339333,0.5828918,0.0009212233,0.0001098868,0.2644288,0.1270131,0.0005011877],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8298896,0.005521072,0.0003040469,0.1631247,0.0002147867,0.0008540553,0.00002533209,0.00002979796,0.00003661506],"genre_scores_gemma":[0.9943544,0.0007957062,0.000005319546,0.00212659,0.0004325902,0.0000962669,0.000008116947,0.000002260049,0.002178792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.579218,"threshold_uncertainty_score":0.999804,"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."}}