{"id":"W4402084210","doi":"10.51952/9781529233445.ch005","title":"Racialized Migrant Labour in Organic Agriculture in Canada: Blind Spots and Barriers to Justice","year":2024,"lang":"en","type":"book-chapter","venue":"Bristol University Press eBooks","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Economic Justice; Agriculture; Environmental justice; Spots; Blind spot; Political science; Demographic economics; Geography; Economics; Psychology; Law; Medicine; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002159982,0.0002156582,0.0003501552,0.0002004114,0.0002663488,0.00006040995,0.0003070449,0.0002956228,0.0001923481],"category_scores_gemma":[0.0000544319,0.0002497206,0.00004916952,0.00004877238,0.0001084049,0.00008742778,0.0001246707,0.0003873318,0.00000714746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00137931,"about_ca_system_score_gemma":0.002093879,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9432559,"about_ca_topic_score_gemma":0.9982517,"domain_scores_codex":[0.9987824,0.0000672843,0.0002017831,0.0004313784,0.0002319372,0.0002852031],"domain_scores_gemma":[0.9992593,0.00006009777,0.0000979002,0.0001422167,0.00008205792,0.0003584606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004716871,0.00001971133,0.0006677451,0.0005997082,0.0001838321,0.001973464,0.1715568,0.00006397563,0.00003754996,0.7721938,0.05033098,0.001900688],"study_design_scores_gemma":[0.0004386778,0.000007249755,0.0005492031,0.0001464536,0.0001065128,0.00000170147,0.008115124,0.000005360348,0.000003970991,0.0004478905,0.9898559,0.0003219114],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05558338,0.0006224086,0.000005442984,0.0003336429,0.0003703625,0.0008136478,0.0001713995,0.00004085583,0.9420589],"genre_scores_gemma":[0.06151326,0.0002897591,0.00001766906,0.0001857161,0.0001325659,0.000001286424,0.00001092466,0.00001772611,0.9378311],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9395249,"threshold_uncertainty_score":0.9999955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01551982335511134,"score_gpt":0.214669272583367,"score_spread":0.1991494492282556,"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."}}