{"id":"W4394975244","doi":"10.47862/apples.137177","title":"Reviewing research methods on adult migrants’ digital literacy","year":2024,"lang":"en","type":"article","venue":"Apples - Journal of Applied Language Studies","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Digital literacy; Curriculum; Literacy; Inclusion (mineral); Information literacy; Digital inclusion; Sociology; Digital media; Pedagogy; Computer science; Social science; World Wide Web; The Internet","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.003684738,0.0001320655,0.0003281405,0.0003356087,0.0004299825,0.0003778575,0.0003045122,0.00005589586,0.0001137525],"category_scores_gemma":[0.002195821,0.00009543804,0.0001508414,0.0006803841,0.0003295987,0.0002173713,0.00006186271,0.0005240326,0.0001047779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001317007,"about_ca_system_score_gemma":0.0002467456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001357338,"about_ca_topic_score_gemma":0.00004267892,"domain_scores_codex":[0.9981284,0.0002610756,0.0004517571,0.0001824753,0.0006245859,0.0003516814],"domain_scores_gemma":[0.9969538,0.002151919,0.0001237981,0.0001428484,0.0004887354,0.0001388763],"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":[0.00002403807,0.00003924297,0.00001298997,0.0001259264,0.0001325047,0.00002866548,0.4156475,0.000001286655,0.0002957885,0.04029099,0.01053553,0.5328655],"study_design_scores_gemma":[0.0001451492,0.00005284032,0.00003566225,0.0006765283,0.00003301499,0.000007333463,0.2520728,0.000004454706,0.0007172979,0.002867818,0.7432541,0.0001329134],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4321087,0.1893238,0.000312087,0.01253936,0.002996814,0.0009397776,0.0000392366,0.0001925106,0.3615477],"genre_scores_gemma":[0.9785522,0.009698213,0.005710172,0.0006342797,0.002960194,0.00002068747,0.000002374773,0.00002375558,0.002398076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7327186,"threshold_uncertainty_score":0.389185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.247540428924745,"score_gpt":0.6545725804323088,"score_spread":0.4070321515075638,"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."}}