{"id":"W1550627184","doi":"10.56105/cjsae.v19i2.2585","title":"Ambivalent Learning: Gendered and Racialized Barriers to Computer Access for Immigrant Garment Workers","year":2005,"lang":"fr","type":"article","venue":"Canadian Journal for the Study of Adult Education","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Christian Studies; University of Toronto","funders":"Office of International Science and Engineering","keywords":"Ambivalence; Immigration; Sociology; Gender studies; Migrant workers; Political science; Psychology; Social psychology; Economic growth","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006675435,0.0001303725,0.0001787947,0.0001483444,0.001906817,0.0004422612,0.0002813564,0.00005676179,0.0000871171],"category_scores_gemma":[0.000144681,0.0001178083,0.0001092291,0.0001991728,0.0001385951,0.000624419,0.00000734106,0.0001291048,0.000003290254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003936124,"about_ca_system_score_gemma":0.00201043,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01911239,"about_ca_topic_score_gemma":0.1869594,"domain_scores_codex":[0.9988365,0.0001010811,0.0004062451,0.0001537462,0.0001304765,0.0003719242],"domain_scores_gemma":[0.9983366,0.0001352022,0.000211058,0.00008051097,0.0003576447,0.0008790278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001288598,0.0001446007,0.00672074,0.00004678459,0.0001929672,1.393771e-7,0.2186113,0.004750033,4.124843e-7,0.002681488,0.01657071,0.7501519],"study_design_scores_gemma":[0.001506796,0.000804864,0.01006282,0.000177377,0.0002130872,0.000005793887,0.285297,0.0009119704,0.00001171842,0.0008391009,0.6999357,0.00023376],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9205752,0.00110287,0.004684808,0.06388028,0.005653278,0.003312236,0.00003712289,0.000005711531,0.0007485178],"genre_scores_gemma":[0.9947547,0.0001382101,0.0004154926,0.0007726072,0.001019013,0.0001376056,0.000007096243,0.00001245333,0.002742787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7499182,"threshold_uncertainty_score":0.9993926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02461507733328025,"score_gpt":0.3177952355430146,"score_spread":0.2931801582097344,"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."}}