{"id":"W2982452674","doi":"10.5430/ijhe.v8n7p13","title":"Methodology for Teaching Students the Analysis of Turkish Fiction Texts","year":2019,"lang":"en","type":"article","venue":"International Journal of Higher Education","topic":"Second Language Learning and Teaching","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Kazan Federal University","keywords":"Turkish; Style (visual arts); Linguistics; Literary language; Reading (process); Writing style; Language education; Foreign language; Language assessment; Computer science; Literary criticism; Literary science; Mathematics education; Psychology; Literature; Art; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.005110181,0.0007529559,0.0004001916,0.00245017,0.001787363,0.001525797,0.00130249,0.0007066554,0.01814675],"category_scores_gemma":[0.007426591,0.0004240487,0.0005831031,0.001372166,0.001068571,0.0007948372,0.00201281,0.001478598,0.004677012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001759909,"about_ca_system_score_gemma":0.004340496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008816977,"about_ca_topic_score_gemma":0.002191699,"domain_scores_codex":[0.9973843,0.001068287,0.000222733,0.0005114343,0.0005801758,0.0002331543],"domain_scores_gemma":[0.9964576,0.00113784,0.0002622841,0.0003773143,0.001492559,0.0002724035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004470273,0.004234138,0.008183056,0.001824169,0.00001878285,0.0008830667,0.07700822,0.0008666041,0.0436785,0.03369103,0.01957837,0.8095871],"study_design_scores_gemma":[0.0007742037,0.004091837,0.03866176,0.001882774,0.000104243,0.001863805,0.07370745,0.006893215,0.06695404,0.04676405,0.7581091,0.0001935447],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3201046,0.0008912765,0.4791819,0.003401643,0.001050235,0.07307116,0.001621768,0.001812754,0.1188646],"genre_scores_gemma":[0.2158858,0.000843508,0.6699271,0.0008008214,0.0001263384,0.06376989,0.0007538979,0.0002083047,0.04768436],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01814675,"threshold_uncertainty_score":0.06070691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0422376210913172,"score_gpt":0.3889628044347532,"score_spread":0.346725183343436,"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."}}