{"id":"W2783597059","doi":"10.1080/20549547.2018.1423828","title":"Migrant Marketplaces: Globalizing Histories of Migrant Foodways","year":2018,"lang":"en","type":"article","venue":"Global Food History","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto Scarborough; Connaught Fund; Old Dominion University","keywords":"Foodways; Migrant workers; Commodity; Situated; Sociology; Mobilities; Economic geography; Gender studies; Geography; Business; Economic growth; Anthropology; Economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.00142721,0.0003363579,0.0002974705,0.001649207,0.009225365,0.004870627,0.0005898555,0.0011033,0.004726788],"category_scores_gemma":[0.001635493,0.0002751707,0.0002660879,0.001790083,0.01148485,0.006929927,0.006856248,0.001574987,0.0001918093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001935998,"about_ca_system_score_gemma":0.0008234677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007260337,"about_ca_topic_score_gemma":0.01513431,"domain_scores_codex":[0.9992757,0.0004082777,0.00001758971,0.00009295176,0.0000431213,0.0001623286],"domain_scores_gemma":[0.9993663,0.000225641,0.0001160322,0.00007890241,0.00006241879,0.0001506808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004565568,0.00002080663,0.007543526,0.00006865792,0.00000949583,0.002146093,0.833596,0.0001077709,0.0004322818,0.141913,0.00131596,0.01280085],"study_design_scores_gemma":[0.000008830365,0.0000764484,0.0104375,0.0002317639,0.00001843865,0.001703164,0.7543911,0.0001972767,0.0004046088,0.02251547,0.209983,0.00003249373],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9155177,0.003189973,0.002816191,0.004833806,0.0001580918,0.00002537316,0.00006949643,0.00003039209,0.07335893],"genre_scores_gemma":[0.9935241,0.001032333,0.0004559205,0.0001610253,0.00003077623,0.00001324311,0.00002200913,0.00001925597,0.004741347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009225365,"threshold_uncertainty_score":0.0158127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03200833242864608,"score_gpt":0.2653784860645589,"score_spread":0.2333701536359128,"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."}}