{"id":"W4302774514","doi":"10.1080/09581596.2022.2130740","title":"The intersection of structure and agency within charitable community food programs in Toronto, Canada, during the COVID-19 pandemic: cultivating systemic change","year":2022,"lang":"en","type":"article","venue":"Critical Public Health","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Food security; Food systems; Public relations; Agency (philosophy); Equity (law); Sociology; Political science; Economic growth; Legitimacy; Public administration; Politics; Economics; Social science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.005230122,0.0001285134,0.0002784981,0.00004082246,0.009862607,0.00002492725,0.000345883,0.00009799645,0.0001598274],"category_scores_gemma":[0.002749142,0.00009304921,0.00002524156,0.0003338347,0.0001878071,0.0002167691,0.0004266712,0.002140336,2.535662e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005754338,"about_ca_system_score_gemma":0.003480596,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8928745,"about_ca_topic_score_gemma":0.9764564,"domain_scores_codex":[0.9929594,0.004760779,0.0008977204,0.0001972922,0.0003895489,0.0007952697],"domain_scores_gemma":[0.9971387,0.001649238,0.0002874709,0.0003567056,0.0001368784,0.0004309803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006938716,0.0001623212,0.5594711,0.00677679,0.00002618939,0.000002047278,0.2781612,0.00001186586,0.00001911729,0.1515589,0.00098629,0.002754778],"study_design_scores_gemma":[0.00144419,0.0007032891,0.2384914,0.0003934288,0.00001078831,0.00008404203,0.732359,0.001210714,4.908675e-7,0.006375878,0.01865085,0.0002759515],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9567424,0.001551406,0.00002482909,0.03852015,0.000909277,0.001740759,0.0002718211,0.0000530802,0.000186273],"genre_scores_gemma":[0.9940959,0.00005659109,0.00003063357,0.005031808,0.0001115733,0.0005834348,0.000047276,0.00001385159,0.00002895757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4541978,"threshold_uncertainty_score":0.9980624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4475454992805631,"score_gpt":0.4735909355943733,"score_spread":0.02604543631381018,"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."}}