{"id":"W1503752517","doi":"10.20360/g2588t","title":"Preparing Teachers to Become Lifelong Learners: Exploring the Use of Fiction to Develop Multiliteracies and Critical Thinking","year":2013,"lang":"en","type":"article","venue":"Language and Literacy","topic":"Literacy, Media, and Education","field":"Arts and Humanities","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor; Mount Saint Vincent University","funders":"","keywords":"Craft; Lifelong learning; Critical thinking; Pedagogy; Literacy; Citizenship; Sociology; Multimodality; Mathematics education; Critical literacy; Psychology; Computer science; Visual arts; Art; Political science; World Wide Web","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":[0.005980506,0.0004713201,0.000362424,0.002038125,0.007687738,0.01074039,0.001434839,0.002550409,0.003465896],"category_scores_gemma":[0.01625143,0.0002859691,0.0002923495,0.0008630481,0.0139595,0.006287658,0.006736239,0.003417718,0.0006427646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005281239,"about_ca_system_score_gemma":0.005186797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003378372,"about_ca_topic_score_gemma":0.0113455,"domain_scores_codex":[0.9956843,0.00317359,0.0000718082,0.0001980458,0.0004427544,0.0004295065],"domain_scores_gemma":[0.9809034,0.01564927,0.0008537813,0.0004932532,0.0007964624,0.001303888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001284108,0.0000977247,0.001587536,0.000118342,0.00000203632,0.0006948562,0.9545528,0.00007728927,0.0007553844,0.02608507,0.001118835,0.01489727],"study_design_scores_gemma":[0.00002014847,0.00009892602,0.002918523,0.0004992266,0.00001176682,0.0009472382,0.8233152,0.0003282483,0.002352105,0.02105737,0.1484223,0.00002892451],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7989063,0.002805852,0.02440921,0.01324471,0.0002369034,0.0004281521,0.00006429561,0.0001663156,0.1597382],"genre_scores_gemma":[0.9736593,0.001396835,0.01059722,0.0007774931,0.00004251249,0.0002497871,0.00003959586,0.00007083419,0.01316653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01074039,"threshold_uncertainty_score":0.03831828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06018803465604651,"score_gpt":0.2937330071826512,"score_spread":0.2335449725266047,"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."}}