{"id":"W2884901576","doi":"10.20360/langandlit29405","title":"Introduction to Equity and Digital Literacies: Access, Ethics, and Engagements","year":2018,"lang":"en","type":"article","venue":"Language and Literacy","topic":"Literacy, Media, and Education","field":"Arts and Humanities","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; University of Cape Town; Simon Fraser University; University of Glasgow; University of British Columbia; University of Cambridge; Northwestern University","keywords":"Equity (law); Literacy; Sociology; Political science; Pedagogy; Law","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0003274422,0.0001239983,0.0001156187,0.0000983768,0.0004552254,0.002703315,0.00007196555,0.00003912622,0.0006779659],"category_scores_gemma":[0.0003021134,0.0001022655,0.00001390045,0.00004119962,0.0001884401,0.002119783,0.0002556067,0.00020227,0.00003677304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001065864,"about_ca_system_score_gemma":0.00001489617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000232519,"about_ca_topic_score_gemma":0.00008413214,"domain_scores_codex":[0.9991825,0.00005064655,0.0001644509,0.0002861443,0.000129873,0.00018639],"domain_scores_gemma":[0.9994126,0.0001279673,0.00004573756,0.0001606416,0.0001315216,0.000121519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002234417,0.00002789165,0.001171512,0.0001032156,0.00001087673,0.000002477608,0.8831711,6.980744e-9,0.00002120732,0.001862254,0.005646197,0.107961],"study_design_scores_gemma":[0.000322206,0.0001884563,0.005341217,0.00009807308,0.00003082946,0.00001303626,0.08632489,0.00002113973,0.0001409842,0.002810339,0.9044436,0.000265241],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905351,0.0009694065,0.00002642806,0.003922268,0.000961029,0.0001433392,0.00004769524,0.00004651359,0.003348242],"genre_scores_gemma":[0.9818684,0.00007575854,0.0001097374,0.002895819,0.007978942,0.00001080653,0.00008375439,0.00001161377,0.006965194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8987974,"threshold_uncertainty_score":0.998332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03976381652136927,"score_gpt":0.3502418957828415,"score_spread":0.3104780792614722,"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."}}