{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008140305,0.0005635749,0.0003517029,0.001927593,0.007169733,0.01098641,0.001262396,0.002625257,0.00482243],"category_scores_gemma":[0.02896414,0.0003964412,0.0002327851,0.001441991,0.04061021,0.01638931,0.007323721,0.003496369,0.0004291473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004177278,"about_ca_system_score_gemma":0.003041093,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009489262,"about_ca_topic_score_gemma":0.01500359,"domain_scores_codex":[0.9915765,0.006795052,0.0001499741,0.0003761977,0.0005738738,0.0005284341],"domain_scores_gemma":[0.9599469,0.03460801,0.00181575,0.001327069,0.001055886,0.001246438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002422576,0.00001671779,0.001490229,0.0001445154,0.000007708101,0.00046053,0.9297894,0.00007991317,0.0004016879,0.05237446,0.002373983,0.01283673],"study_design_scores_gemma":[0.00001929527,0.00003406683,0.001791333,0.000654721,0.00001634412,0.000734378,0.7579323,0.0003758872,0.0008501955,0.05275898,0.1847935,0.00003912929],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5857897,0.01734306,0.03478414,0.08145687,0.0009593609,0.0002295982,0.0002261183,0.0002347589,0.2789764],"genre_scores_gemma":[0.9857374,0.002019609,0.003371374,0.002056104,0.0001083916,0.00007561933,0.00004132019,0.00006677309,0.006523346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9905108,"threshold_uncertainty_score":0.04305059,"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."}}