{"id":"W2018200171","doi":"10.1080/00933104.2007.10473351","title":"Getting Graphic with the Past: Graphic Novels and the Teaching of History","year":2007,"lang":"en","type":"article","venue":"Theory & Research in Social Education","topic":"Educator Training and Historical Pedagogy","field":"Social Sciences","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Ambiguity; Historiography; Interpretation (philosophy); Social studies; Reading (process); Hypertext; Computer science; Mathematics education; Visual arts; Multimedia; Psychology; Art; World Wide Web; History; Linguistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.002509038,0.0003468766,0.0002501534,0.0009116786,0.005542046,0.007892959,0.0007851992,0.001565293,0.0153855],"category_scores_gemma":[0.005670682,0.0001978268,0.0002698551,0.0005333087,0.0178678,0.004569945,0.004810442,0.003109779,0.001047729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002586375,"about_ca_system_score_gemma":0.001419048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007862932,"about_ca_topic_score_gemma":0.002631648,"domain_scores_codex":[0.9981188,0.001412838,0.00002215719,0.0001072527,0.0001828594,0.0001560596],"domain_scores_gemma":[0.9961404,0.002647145,0.0003296293,0.0002478266,0.0001137423,0.0005211736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008567603,0.0002327772,0.001188347,0.0003334202,0.000008977174,0.001279894,0.2520868,0.0007754049,0.0009333591,0.6456205,0.04730497,0.05014992],"study_design_scores_gemma":[0.00004395541,0.0001574465,0.001064522,0.000486154,0.000009126053,0.0009857721,0.1044222,0.0005291694,0.001206733,0.08808624,0.8029806,0.00002809034],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2215957,0.008847328,0.01171768,0.05161729,0.003377487,0.00006467308,0.00007956701,0.0003302449,0.70237],"genre_scores_gemma":[0.9542664,0.002847895,0.002362096,0.001354516,0.0005594826,0.00003705062,0.00002610058,0.00013482,0.03841153],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0153855,"threshold_uncertainty_score":0.05146962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1537831282991582,"score_gpt":0.468675158009983,"score_spread":0.3148920297108248,"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."}}