{"id":"W2762945084","doi":"","title":"We Cannot Call Back Colonial Stories: Storytelling and Critical Land Literacy","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Education / Revue canadienne de l éducation","topic":"Diverse Educational Innovations Studies","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Ottawa","funders":"","keywords":"Storytelling; Indigenous; Literacy; Narrative; Sociology; Citizen journalism; Colonialism; Relation (database); Critical literacy; Digital storytelling; Pedagogy; Social science; Media studies; Political science; Geography; Ecology; Archaeology; Literature; Law; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0004753033,0.0001226468,0.0001685723,0.0001091751,0.001012588,0.0004026276,0.0003289115,0.00008172914,0.0003099673],"category_scores_gemma":[0.002102709,0.00007973301,0.00004355173,0.0001655552,0.0002002407,0.0005636963,0.00001336264,0.0001872368,0.0000130902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001207449,"about_ca_system_score_gemma":0.002387517,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08501127,"about_ca_topic_score_gemma":0.667496,"domain_scores_codex":[0.9990118,0.00005789916,0.0003186751,0.0001791083,0.00006737216,0.0003651313],"domain_scores_gemma":[0.9973451,0.0002280495,0.0003469576,0.0001163697,0.001214569,0.0007489104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005286716,0.0003209042,0.5502048,0.0002299142,0.0001474353,0.00004108046,0.1471268,0.00003749314,0.003159165,0.03924291,0.1399181,0.1195186],"study_design_scores_gemma":[0.0001035994,0.000131027,0.5044037,0.000222046,0.00004454939,0.0002080276,0.01145138,0.000020085,0.00003639552,0.002685766,0.4804627,0.0002307464],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9489087,0.0006502036,0.000005248382,0.04464028,0.004668674,0.00009796688,0.00005970182,0.000003042489,0.0009661784],"genre_scores_gemma":[0.9949889,0.00007452563,0.0004856161,0.000402535,0.001815009,0.00001046858,0.00003182668,0.00000247467,0.002188679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5824847,"threshold_uncertainty_score":0.9210817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07225016704312894,"score_gpt":0.3043166853218512,"score_spread":0.2320665182787223,"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."}}