{"id":"W4221056324","doi":"10.33137/ijidi.v5i5.37130","title":"Diversity, equity and inclusion policy texts in Canadian agriculture","year":2022,"lang":"en","type":"article","venue":"The International Journal of Information Diversity & Inclusion (IJIDI)","topic":"Rural development and sustainability","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Agriculture; Equity (law); Citizenship; Public policy; Agricultural policy; Diversity (politics); Political science; Public administration; Social constructionism; Research policy; Pluralism (philosophy); Sociology; Economic growth; Social science; Economics; Geography; Politics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01123075,0.0004125912,0.0006205551,0.008036559,0.04473992,0.01943339,0.001869757,0.002170583,0.004704827],"category_scores_gemma":[0.02468546,0.0003700201,0.0002592705,0.01689592,0.02998899,0.005363101,0.00977736,0.003828921,0.0002009363],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2494604,"about_ca_system_score_gemma":0.2695237,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9824011,"about_ca_topic_score_gemma":0.9844994,"domain_scores_codex":[0.9893125,0.002262431,0.0004244857,0.0007529855,0.004617126,0.002630453],"domain_scores_gemma":[0.9757377,0.01439582,0.001233333,0.0008371621,0.005190273,0.002605705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004713641,0.00002765879,0.006506053,0.0002573588,0.000008631379,0.0003850177,0.6437417,0.0004081933,0.0005118959,0.2803836,0.01142967,0.05629313],"study_design_scores_gemma":[0.000009998942,0.00001832405,0.0206752,0.0008540262,0.00002081557,0.0001100319,0.4686643,0.0004864891,0.0005258671,0.02703308,0.4815219,0.00007998654],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4616859,0.008506446,0.003201694,0.09774238,0.0004455014,0.0001910002,0.001038624,0.0001016971,0.4270868],"genre_scores_gemma":[0.9832447,0.00209371,0.001076717,0.001999552,0.00004251636,0.0000437402,0.0001638557,0.00002775734,0.01130744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2494604,"threshold_uncertainty_score":0.8705195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01112267650667462,"score_gpt":0.2305700485893054,"score_spread":0.2194473720826307,"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."}}