{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001401219,0.0001696997,0.0003125762,0.00204655,0.003453957,0.00578154,0.0003476473,0.000446192,0.003720209],"category_scores_gemma":[0.003438393,0.000132203,0.0002659558,0.0008665926,0.004968768,0.002324518,0.004246165,0.000752508,0.000200508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001582808,"about_ca_system_score_gemma":0.0009089797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006584477,"about_ca_topic_score_gemma":0.01009977,"domain_scores_codex":[0.9986053,0.0004230976,0.00005969828,0.0001407758,0.000203037,0.0005681446],"domain_scores_gemma":[0.9983031,0.000570355,0.0005012623,0.00009008788,0.0001109877,0.0004242425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001546321,0.0002435565,0.3946077,0.00007872525,0.0000460722,0.001620028,0.4543568,0.000140153,0.001414211,0.08592199,0.0006591175,0.06075699],"study_design_scores_gemma":[0.00003458141,0.0002210351,0.5072321,0.0002619717,0.00006403757,0.001312437,0.4258787,0.0004545103,0.001065043,0.03299075,0.03044154,0.00004324028],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890941,0.0003170363,0.0001408464,0.0005394175,0.000007703478,0.000005127768,0.00001661839,0.000003461682,0.009875769],"genre_scores_gemma":[0.9994341,0.00007279466,0.00003527688,0.00002687281,0.000003785196,0.000003147461,0.000005334013,0.000001431834,0.0004172941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006584477,"threshold_uncertainty_score":0.01309228,"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."}}