{"id":"W3094718756","doi":"10.15210/interfaces.v20i0.19022","title":"Coding, SDGs and Education: How Canada is preparing the next generation for global citizenship - An interview with Zoë Decker","year":2020,"lang":"en","type":"article","venue":"Interfaces Brasil/Canadá","topic":"Global Education and Multiculturalism","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citizenship; Viewpoints; Coding (social sciences); Literacy; Sociology; Political science; Media studies; Pedagogy; Library science; Law; Social science; Computer science; Visual arts; Art; Politics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007936016,0.0003939078,0.0003975326,0.002069154,0.05122626,0.009503026,0.002209396,0.002688746,0.004089404],"category_scores_gemma":[0.0148638,0.0006010589,0.0003491973,0.005126761,0.0144534,0.003079836,0.004177927,0.007490589,0.0003422678],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1718269,"about_ca_system_score_gemma":0.2356305,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9933308,"about_ca_topic_score_gemma":0.9965223,"domain_scores_codex":[0.9924345,0.00279718,0.0001904052,0.0005159958,0.001804362,0.002257728],"domain_scores_gemma":[0.9866022,0.003257633,0.0003964874,0.0002354785,0.005530063,0.003978204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000296777,0.00004383429,0.008079643,0.00009558679,0.000008557364,0.00117068,0.8688972,0.0003794035,0.0008027581,0.0228862,0.07181499,0.02579151],"study_design_scores_gemma":[0.000002774886,0.000008239351,0.003843903,0.00013422,0.000004484513,0.0001157439,0.808448,0.0001968325,0.0002075987,0.0008730307,0.1861105,0.00005477221],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4952392,0.006171296,0.006411353,0.3298383,0.001426656,0.00069321,0.0009762705,0.0002073426,0.1590365],"genre_scores_gemma":[0.9195494,0.003657128,0.005557247,0.01685768,0.00004523308,0.0001878756,0.0002279308,0.0001523699,0.0537651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8281732,"threshold_uncertainty_score":0.9605635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1164305918255299,"score_gpt":0.3471623408641785,"score_spread":0.2307317490386486,"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."}}