{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001973317,0.0002148494,0.0001952459,0.0009672494,0.004374421,0.002744624,0.0005074922,0.0006434774,0.00384445],"category_scores_gemma":[0.00589811,0.0001687145,0.0001713028,0.0004562826,0.002886252,0.001351734,0.003433356,0.0008086548,0.0002687974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009803155,"about_ca_system_score_gemma":0.001356036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0225001,"about_ca_topic_score_gemma":0.03439628,"domain_scores_codex":[0.9987112,0.0005332947,0.00005034369,0.0001046367,0.0001927814,0.0004077133],"domain_scores_gemma":[0.9980072,0.0008471656,0.0004865366,0.00009139434,0.0001864067,0.0003811767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001073719,0.0001423915,0.1795134,0.00005004224,0.00001137362,0.001008291,0.7909732,0.00003886556,0.001620625,0.003017555,0.0003877708,0.02312907],"study_design_scores_gemma":[0.000003717271,0.0001005027,0.08095664,0.00007002214,0.00001049987,0.0004258391,0.9148396,0.00008876598,0.0002631389,0.0004891446,0.002738108,0.00001399416],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971041,0.00007987694,0.00007295093,0.0003091063,0.000004967423,0.000004704784,0.000005515983,0.000001734574,0.002417016],"genre_scores_gemma":[0.999067,0.00008630105,0.00005043834,0.00007916281,0.000002881226,0.000006495657,0.000005089347,0.000001594157,0.0007011176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0225001,"threshold_uncertainty_score":0.04473829,"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."}}