{"id":"W1933672179","doi":"10.21432/t2004h","title":"Teen Culture, Technology and Literacy Instruction: Urban Adolescent Students’ Perspectives","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Learning and Technology","topic":"Literacy, Media, and Education","field":"Arts and Humanities","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Institute of Education Sciences; Fulbright Canada; U.S. Department of Education","keywords":"Literacy; Mathematics education; Psychology; Educational technology; Technology integration; Pedagogy; Teaching method; Sociology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001687726,0.0001056262,0.0001817295,0.001214214,0.0002943084,0.0001949943,0.0001422873,0.0001263176,0.00005026403],"category_scores_gemma":[0.0002532876,0.00008931919,0.00001976267,0.0001683781,0.0005850586,0.0002334951,0.00002041985,0.0005867641,0.000005146203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009058378,"about_ca_system_score_gemma":0.0002999272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002269643,"about_ca_topic_score_gemma":0.0007913139,"domain_scores_codex":[0.9993318,0.00003119395,0.0002055696,0.0001332082,0.00009096003,0.0002072359],"domain_scores_gemma":[0.9990143,0.00001042558,0.0001590665,0.00007406845,0.0004805222,0.0002616061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001020379,0.0000251125,0.55293,0.00001808102,0.00005017339,0.00004499728,0.3886476,3.990871e-7,0.000003663272,0.02696165,0.002831972,0.02847612],"study_design_scores_gemma":[0.0004872447,0.0003074022,0.001301177,0.00008093151,0.00002467534,0.0004626365,0.4663081,0.000003087215,0.00001553457,0.003846113,0.5270627,0.0001004174],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828558,0.01217526,0.000009407514,0.003416845,0.0006760377,0.00005027123,0.000002318597,0.00003664714,0.0007774211],"genre_scores_gemma":[0.9967858,0.0001658769,0.0001787826,0.00003410378,0.0005990611,0.000002342163,0.000001799897,0.00001031409,0.002221968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5516288,"threshold_uncertainty_score":0.3642331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01401536256166537,"score_gpt":0.2500470677778363,"score_spread":0.2360317052161709,"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."}}