{"id":"W2333080697","doi":"10.15353/cfs-rcea.v3i1.144","title":"Constituting community through food charters: A rhetorical-genre analysis","year":2016,"lang":"en","type":"article","venue":"Canadian Food Studies / La Revue canadienne des études sur l alimentation","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Laurentian University","funders":"","keywords":"Rhetorical question; Charter; Action (physics); Sociology; Ideology; Food systems; Food security; Identity (music); Listing (finance); Political science; Law; Aesthetics; History; Politics; Business; Agriculture; Art; Literature","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00121685,0.0003464819,0.0006984827,0.000562431,0.004755305,0.00002857341,0.0003417959,0.0002622702,0.0002012915],"category_scores_gemma":[0.0009457766,0.0003147552,0.0002023014,0.001294513,0.0004672302,0.0005137781,0.0001144572,0.0005706485,0.00007569566],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004805679,"about_ca_system_score_gemma":0.0007961714,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2880185,"about_ca_topic_score_gemma":0.9916229,"domain_scores_codex":[0.9958277,0.001290117,0.0008944688,0.0004513079,0.0001531052,0.001383296],"domain_scores_gemma":[0.9958565,0.001544219,0.0003950964,0.0005833378,0.0007455939,0.0008752517],"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":[0.0001261523,0.000164119,0.2031733,0.001726739,0.01036449,0.00006291201,0.3830737,0.00009996624,0.0002253896,0.392873,0.003601661,0.004508442],"study_design_scores_gemma":[0.006953327,0.002938728,0.2108721,0.003524194,0.004768524,0.00003679183,0.5318228,0.0001442883,0.000192751,0.02227981,0.2139002,0.002566477],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842291,0.001149454,0.0001586105,0.004774849,0.0008888709,0.0009599871,0.001270952,0.0001219347,0.006446233],"genre_scores_gemma":[0.9964217,0.0003899637,0.0004126756,0.001685649,0.0002005363,0.000324781,0.0001757526,0.00003587193,0.0003530521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7036044,"threshold_uncertainty_score":0.9999304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3753125029794967,"score_gpt":0.4224300181069502,"score_spread":0.04711751512745349,"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."}}