{"id":"W4221095517","doi":"10.1007/s41055-022-00099-y","title":"Containing Hunger, Contesting Injustice? Exploring the Transnational Growth of Foodbanking- and Counter-responses- Before and During the COVID-19 Pandemic","year":2022,"lang":"en","type":"article","venue":"Food Ethics","topic":"Agriculture, Land Use, Rural Development","field":"Agricultural and Biological Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Political science; Injustice; Precarity; Pandemic; Food systems; CONTEST; Famine; Politics; Economic growth; Development economics; Political economy; Food security; Coronavirus disease 2019 (COVID-19); Sociology; Economics; Law; Geography","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":[0.006800198,0.0002878735,0.0003289209,0.001027249,0.006368511,0.01032831,0.001053163,0.0021706,0.005949529],"category_scores_gemma":[0.008045451,0.0002753765,0.0002931293,0.001457243,0.01646228,0.01382683,0.007289295,0.004544714,0.0003796342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006166575,"about_ca_system_score_gemma":0.004924833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009567638,"about_ca_topic_score_gemma":0.0274841,"domain_scores_codex":[0.9966496,0.002342947,0.00005047508,0.0001851941,0.0001798356,0.000591977],"domain_scores_gemma":[0.9947652,0.003484027,0.0006361195,0.0002430029,0.0003267911,0.0005448864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008491506,0.00007526438,0.009788281,0.000718838,0.00002714561,0.001027029,0.7353106,0.000229107,0.0004740769,0.2109493,0.01075436,0.03056097],"study_design_scores_gemma":[0.000004510383,0.00003771265,0.009979458,0.001414764,0.00001093372,0.0002093762,0.8688229,0.0002109799,0.0001754146,0.02665582,0.09245424,0.00002387397],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7126611,0.02415807,0.005168552,0.1468347,0.001332461,0.00008850671,0.0002545833,0.00004573479,0.1094562],"genre_scores_gemma":[0.9842464,0.006496072,0.0008984515,0.005256427,0.0001291495,0.0000464819,0.00005719291,0.00005838945,0.002811391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01032831,"threshold_uncertainty_score":0.04474187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.118903531732511,"score_gpt":0.2788898105210054,"score_spread":0.1599862787884944,"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."}}