{"id":"W2883680371","doi":"10.20360/langandlit29407","title":"Social Class and The Unequal Digital Literacies of Youth","year":2018,"lang":"en","type":"article","venue":"Language and Literacy","topic":"Social Media and Politics","field":"Social Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"International Research Foundation for English Language Education","keywords":"Cultural capital; Class (philosophy); Sociology; Social capital; Literacy; Digital literacy; Social class; Social mobility; Digital divide; Gender studies; Pedagogy; Social science; Political science; Computer science; World Wide Web; Information and Communications Technology","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":[],"consensus_categories":[],"category_scores_codex":[0.0001479929,0.00005571623,0.0001157706,0.00002078177,0.0003228649,0.0001865656,0.00006189277,0.00005112689,0.00003205525],"category_scores_gemma":[0.0002417621,0.00003756937,0.00003269378,0.00009472653,0.001266272,0.0002283877,0.00003601955,0.00005929543,0.000003646305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000522958,"about_ca_system_score_gemma":0.00002673172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001051872,"about_ca_topic_score_gemma":0.00005936059,"domain_scores_codex":[0.9994177,0.00009597297,0.0001106941,0.00007849001,0.0001370116,0.0001601588],"domain_scores_gemma":[0.9994878,0.0002934074,0.00005031465,0.00005425976,0.00006449277,0.00004969208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002482857,0.000007536556,0.003536862,0.000007092661,0.000007993288,0.000001658496,0.9201339,9.428162e-10,0.00001019668,0.0568721,0.00007639878,0.01932146],"study_design_scores_gemma":[0.001631107,0.00009978726,0.003805291,0.00005162859,0.00007072611,0.000001724664,0.8472456,0.00001639057,0.0002099009,0.01235108,0.1342773,0.0002393872],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808538,0.0006270489,0.000005062177,0.001056739,0.0001376864,0.00007543659,0.00004457737,0.00001700703,0.01718266],"genre_scores_gemma":[0.9970644,0.00002978886,0.00001662945,0.000383489,0.001504427,0.00000190332,0.000006713856,0.00000417097,0.0009884681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1342009,"threshold_uncertainty_score":0.4665632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01577178809833582,"score_gpt":0.32506971153105,"score_spread":0.3092979234327142,"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."}}