{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008822544,0.000195766,0.0003421261,0.001349229,0.01497374,0.003749745,0.001092752,0.0006873581,0.01249394],"category_scores_gemma":[0.002671471,0.0001755483,0.0003004593,0.002758458,0.002269316,0.0008881404,0.002639753,0.001752968,0.0005573324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0754077,"about_ca_system_score_gemma":0.2064254,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.997005,"about_ca_topic_score_gemma":0.9986557,"domain_scores_codex":[0.9986485,0.0001102344,0.00003675609,0.0001063279,0.0003735395,0.0007245832],"domain_scores_gemma":[0.9979053,0.0002183626,0.0001013582,0.00003706386,0.0007845546,0.0009533921],"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":[0.0004470626,0.000633514,0.1595975,0.001105824,0.00007970297,0.006211739,0.1221733,0.001677901,0.002747894,0.1497866,0.0517,0.503839],"study_design_scores_gemma":[0.00006818648,0.000185383,0.3142295,0.001209913,0.00009133344,0.001328709,0.1338883,0.00206373,0.001354136,0.007613785,0.5377724,0.0001945951],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7147205,0.0107412,0.001229867,0.03327554,0.0004792804,0.0002027701,0.0016183,0.0001602099,0.2375723],"genre_scores_gemma":[0.9020475,0.005464897,0.001439611,0.001665696,0.00004625499,0.00004217807,0.0002975143,0.00004931901,0.08894712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0754077,"threshold_uncertainty_score":0.5471237,"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."}}