{"id":"W4383505882","doi":"10.60008/thequest.v2i1.57","title":"Censorship and Expurgation of the Selected Children's Literature","year":2023,"lang":"en","type":"article","venue":"The QUEST Journal of Multidisciplinary Research and Development","topic":"Themes in Literature Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Cambridge","keywords":"Censorship; Expression (computer science); Literary criticism; Psychoanalytic theory; Interpretation (philosophy); Imitation; Literary theory; Exaggeration; Sociology; Psychology; Meaning (existential); Reading (process); Epistemology; Linguistics; Psychoanalysis; Social psychology; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003702319,0.0002344991,0.0006121971,0.007595665,0.003199054,0.007981343,0.0009079934,0.001407991,0.002521025],"category_scores_gemma":[0.0131161,0.000237864,0.0003318318,0.004344385,0.009943021,0.003619444,0.002671411,0.001420629,0.0003827129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004374837,"about_ca_system_score_gemma":0.004015544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005889229,"about_ca_topic_score_gemma":0.01085973,"domain_scores_codex":[0.9958659,0.001933145,0.0003828898,0.0003374727,0.001242303,0.0002382996],"domain_scores_gemma":[0.9812509,0.01184181,0.003030363,0.0009472847,0.002405514,0.0005241511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001276724,0.00006247107,0.01977675,0.005109484,0.0001600396,0.006610603,0.6519811,0.0001070449,0.0009691987,0.1430797,0.02116649,0.1508495],"study_design_scores_gemma":[0.0000118011,0.000108603,0.04143516,0.01121319,0.0001640692,0.005425806,0.2301845,0.00007547835,0.001487127,0.009272759,0.7005824,0.00003918585],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4530082,0.3812203,0.0009566209,0.02530346,0.001761329,0.0001052718,0.0003480312,0.00006451261,0.1372322],"genre_scores_gemma":[0.9152974,0.07238171,0.0004544316,0.001084868,0.0005773751,0.00007874388,0.0001215016,0.0000356692,0.009968358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007981343,"threshold_uncertainty_score":0.0317418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05649310018887882,"score_gpt":0.3204642736946953,"score_spread":0.2639711735058164,"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."}}