{"id":"W2592705848","doi":"10.4018/ijmbl.2017040103","title":"Mobile Learning and Indigenous Education in Canada","year":2017,"lang":"en","type":"article","venue":"International Journal of Mobile and Blended Learning","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Roads University","funders":"","keywords":"Indigenous; Curriculum; Indigenous education; Context (archaeology); Pedagogy; Informal learning; Modalities; Educational technology; Mobile technology; Blended learning; Sociology; Mobile device; Psychology; Computer science; Geography; Social science; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005287399,0.0001105021,0.0001741811,0.000223478,0.0002527256,0.000399682,0.0006936605,0.00004425476,0.00002030598],"category_scores_gemma":[0.0003061175,0.0001089051,0.0000282873,0.00004840334,0.00003901792,0.0007680032,0.0001991822,0.0006197795,0.000001953295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003202656,"about_ca_system_score_gemma":0.003044526,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0573437,"about_ca_topic_score_gemma":0.02120922,"domain_scores_codex":[0.9987316,0.0001187016,0.0003691285,0.0001999913,0.000409115,0.0001715331],"domain_scores_gemma":[0.9985881,0.0001310769,0.0007431511,0.0001404733,0.0002981981,0.00009904028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001062815,0.00004537956,0.3099149,0.000008715188,0.00002444797,0.00003466032,0.002167647,0.003174218,0.0002432907,0.0002167237,0.00004861366,0.6841107],"study_design_scores_gemma":[0.002493543,0.001259216,0.6806253,0.0008309243,0.00003349302,0.002131561,0.01448285,0.01748079,0.001364351,0.002057776,0.2764516,0.0007885897],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943588,0.00125878,0.001492962,0.0002872075,0.00129738,0.0001133364,2.640214e-7,0.00001012876,0.001181127],"genre_scores_gemma":[0.9957992,0.0009340853,0.002374337,0.00005640992,0.0002236553,0.00001810847,0.000001554311,0.000008913702,0.0005837777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6833221,"threshold_uncertainty_score":0.9966512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005844968122084078,"score_gpt":0.2760168353816528,"score_spread":0.2701718672595688,"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."}}