{"id":"W4301787715","doi":"10.2307/25149180","title":"Making the Amalgamated: Gender, Ethnicity, and Class in the Baltimore Clothing Industry, 1899-1939","year":2001,"lang":"en","type":"article","venue":"Labour / Le Travail","topic":"Fashion and Cultural Textiles","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Ethnic group; Clothing; Class (philosophy); Clothing industry; Gender studies; Sociology; Political science; Anthropology; Computer science; 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":[0.0005184994,0.0001059894,0.0001501446,0.001081125,0.003843873,0.001696846,0.0005336145,0.0003518884,0.00487775],"category_scores_gemma":[0.0009416685,0.0001793815,0.000112695,0.001180232,0.001752352,0.001067638,0.001276111,0.001068488,0.0004638532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002480223,"about_ca_system_score_gemma":0.0009857673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.238567,"about_ca_topic_score_gemma":0.5822808,"domain_scores_codex":[0.9996666,0.0000832929,0.00001043923,0.00003987989,0.00004252303,0.0001572273],"domain_scores_gemma":[0.9995647,0.00005628693,0.0001095966,0.00001400101,0.00009518583,0.0001601259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002667011,0.0002549553,0.6846075,0.00004322099,0.00003065306,0.0006026975,0.252709,0.0001611511,0.001262946,0.01780531,0.007795846,0.03446],"study_design_scores_gemma":[0.000004874818,0.00008024883,0.7781895,0.0000470597,0.00001139105,0.0001200529,0.1710117,0.0001143565,0.0003990522,0.0005189559,0.04948674,0.00001597695],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877151,0.0003802796,0.00004142339,0.0008057398,0.00004448788,0.000004826169,0.0001617713,0.000001627952,0.01084468],"genre_scores_gemma":[0.9905099,0.0001272769,0.00003060419,0.00007075256,0.00001547081,0.000003998593,0.00004380492,0.00000259273,0.00919555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.238567,"threshold_uncertainty_score":0.4743568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09746474609665468,"score_gpt":0.2875210664987617,"score_spread":0.1900563204021071,"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."}}