{"id":"W4313462896","doi":"10.5430/wjel.v13n1p337","title":"A Comparative Analysis of Politeness Strategies in the Animated Cartoon Angelo Rules and Its Dubbed Arabic Version","year":2023,"lang":"en","type":"article","venue":"World Journal of English Language","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Politeness; Arabic; Linguistics; Contrastive analysis; Psychology; Politeness theory; 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":[0.0006209665,0.0001693043,0.0002014226,0.0005074998,0.0004665945,0.001266884,0.000121274,0.0002018271,0.001284166],"category_scores_gemma":[0.005135855,0.0001021269,0.0001117368,0.0004103352,0.0007361788,0.0003799776,0.0003825739,0.0002987754,0.0001373968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003525105,"about_ca_system_score_gemma":0.0002138686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00163516,"about_ca_topic_score_gemma":0.002650423,"domain_scores_codex":[0.9992914,0.0003749961,0.00006869214,0.00007411895,0.0001354118,0.00005526363],"domain_scores_gemma":[0.9978235,0.001285754,0.000313089,0.0001672762,0.0002850988,0.0001253701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.003888686,0.0005463709,0.2894176,0.000970197,0.0002673125,0.004831315,0.2956606,0.001556852,0.1608675,0.01448943,0.001210999,0.2262932],"study_design_scores_gemma":[0.00005439255,0.0009009785,0.8386455,0.0001587831,0.00009682943,0.003512394,0.117493,0.003914603,0.0111971,0.001927536,0.02199478,0.0001041617],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949231,0.0000814119,0.000463186,0.00001444682,0.000005017127,0.00001652956,0.00001733316,0.00000207028,0.004477046],"genre_scores_gemma":[0.9988047,0.00005594301,0.0005760806,0.000008005954,0.000002369545,0.00001147763,0.00003817333,0.000003819833,0.0004993777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00163516,"threshold_uncertainty_score":0.004295945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02495420316583699,"score_gpt":0.3212951229789425,"score_spread":0.2963409198131055,"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."}}