{"id":"W2144748313","doi":"10.5539/ass.v6n2p91","title":"Social Motivation for the Emergence of New Terms in Modern Chinese Language","year":2010,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Linguistics, Language Diversity, and Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phenomenon; Style (visual arts); Psychology; Social stratification; Foreign language; Linguistics; Social life; Sociology; Epistemology; Social psychology; Social science; Mathematics education; History; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002565154,0.000052415,0.00007500877,0.00004510304,0.0006502436,0.00008253215,0.0003381289,0.00002446987,0.0001794872],"category_scores_gemma":[0.001719667,0.00003811662,0.00004772097,0.00009903727,0.0005676891,0.000197517,0.00005618436,0.00008305087,0.00000312406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001114994,"about_ca_system_score_gemma":0.00005944668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001958657,"about_ca_topic_score_gemma":0.008373345,"domain_scores_codex":[0.9994271,0.00000668779,0.00009998741,0.0001163879,0.0002000324,0.0001498125],"domain_scores_gemma":[0.9995818,0.00002566726,0.0000694894,0.00006640117,0.0002336897,0.00002296892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.000008502377,0.00004168466,0.01158789,0.00001261525,0.000004673028,6.036663e-7,0.8654783,1.692963e-7,0.0009111727,0.08235286,0.003850988,0.0357505],"study_design_scores_gemma":[0.0008071343,0.00004149146,0.6033092,0.00000966231,0.00003544948,1.065737e-7,0.2998754,0.0003929826,0.0005060774,0.09165628,0.003007455,0.0003587265],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9384593,0.0000127163,0.0001916642,0.0002862524,0.004068695,0.000185969,0.00003054571,0.00001874084,0.05674614],"genre_scores_gemma":[0.9926152,6.391785e-7,0.0000338359,0.00006190922,0.006467054,0.000002037839,0.000002313114,0.000003121326,0.0008139412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5917214,"threshold_uncertainty_score":0.5001214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02642395705092074,"score_gpt":0.2908631835789133,"score_spread":0.2644392265279926,"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."}}