{"id":"W4386436211","doi":"10.5430/wjel.v13n8p52","title":"Mutual Identities: Fostering Empathy between Readers and Characters in Reading a Work of Fiction","year":2023,"lang":"en","type":"article","venue":"World Journal of English Language","topic":"Education and Critical Thinking Development","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Empathy; Reading (process); Psychology; Flexibility (engineering); Thematic analysis; Social psychology; Cognitive psychology; Linguistics; Qualitative research; Sociology; 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":[0.003907725,0.0003486661,0.0002539198,0.0006911393,0.005049204,0.003705911,0.0005726126,0.001426286,0.00189589],"category_scores_gemma":[0.01274587,0.0002286435,0.0002922453,0.0002713318,0.006462684,0.003579311,0.006353315,0.001540714,0.0002864065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001077299,"about_ca_system_score_gemma":0.0008642371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003167511,"about_ca_topic_score_gemma":0.0006188072,"domain_scores_codex":[0.9931417,0.005395913,0.0001103755,0.0003081232,0.0006067888,0.0004372257],"domain_scores_gemma":[0.9930345,0.004375262,0.001355655,0.000346305,0.0003625568,0.0005257293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005754809,0.00007545669,0.006887379,0.0001770493,0.00001620658,0.001305473,0.9598411,0.00005776215,0.006430086,0.007253424,0.0006640889,0.01723439],"study_design_scores_gemma":[0.00001393855,0.0003636361,0.02422893,0.0002971565,0.00005240089,0.003052497,0.92029,0.0003996547,0.006715766,0.007254469,0.03727844,0.00005314969],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699544,0.0004164977,0.003492042,0.001475007,0.00005762441,0.00004818981,0.000007929164,0.00002468695,0.02452372],"genre_scores_gemma":[0.9976193,0.00009538687,0.0007329799,0.0001386553,0.00001323376,0.0000210656,0.000003367845,0.000005354727,0.001370575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005049204,"threshold_uncertainty_score":0.0206663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03544676886963278,"score_gpt":0.324080364208549,"score_spread":0.2886335953389162,"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."}}