{"id":"W4285593460","doi":"10.15353/cfs-rcea.v9i2.538","title":"community food centre: Using relational spaces to transform deep stories and shift public will","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":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public relations; Poverty; Food security; Political science; Storytelling; Business; Narrative; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01243041,0.001160438,0.0004253766,0.003109994,0.0525671,0.02433067,0.004257845,0.004249033,0.01695174],"category_scores_gemma":[0.01096249,0.0005749634,0.0007030462,0.002563309,0.05655376,0.01249314,0.02240444,0.007249983,0.001958243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0283492,"about_ca_system_score_gemma":0.03572461,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2547169,"about_ca_topic_score_gemma":0.5377934,"domain_scores_codex":[0.9894434,0.007514248,0.00007232006,0.0004778376,0.000893512,0.00159879],"domain_scores_gemma":[0.9873969,0.004647686,0.0004847763,0.0009759751,0.001220575,0.005273936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003341291,0.00005017452,0.0009479026,0.000133575,0.00001146512,0.0006730472,0.8338948,0.0001424772,0.0003722239,0.0977765,0.04080058,0.02516379],"study_design_scores_gemma":[0.00001004442,0.00001985813,0.0004500487,0.000199277,0.000007222298,0.000122706,0.5868433,0.0001199811,0.0001680806,0.01583052,0.3962025,0.00002645155],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1636737,0.007543708,0.04438969,0.1624171,0.003036265,0.0006053239,0.0005584229,0.001068957,0.6167068],"genre_scores_gemma":[0.8988606,0.003242243,0.01942513,0.00837679,0.0002218904,0.0004515598,0.0002417042,0.0005604123,0.06861956],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7452831,"threshold_uncertainty_score":0.5064687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06282738596621579,"score_gpt":0.2225939800942377,"score_spread":0.1597665941280219,"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."}}