{"id":"W4412700437","doi":"10.1016/j.laheal.2025.100053","title":"A corpus-assisted analysis of language convergence and meaning divergence of ‘mental health’ in Asian countries","year":2025,"lang":"en","type":"article","venue":"Language and Health","topic":"Mental Health via Writing","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Faculty of Arts and Social Sciences, Carleton University; University of Nottingham Malaysia Campus; University of Nottingham; Northumbria University","keywords":"Divergence (linguistics); Meaning (existential); Convergence (economics); Mental health; Linguistics; Psychology; Sociology; Economics; Psychiatry; Economic growth; Philosophy; Psychotherapist","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.006659651,0.0003216165,0.0005083845,0.007307059,0.002065271,0.002770008,0.0005150126,0.0003638812,0.002828871],"category_scores_gemma":[0.02295555,0.0002714953,0.0003065819,0.00969459,0.001344054,0.00193612,0.003168606,0.00103204,0.0006068922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001259514,"about_ca_system_score_gemma":0.001753696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008672845,"about_ca_topic_score_gemma":0.01330977,"domain_scores_codex":[0.9963903,0.002060507,0.0005422544,0.0004347009,0.0004239428,0.0001483814],"domain_scores_gemma":[0.9587607,0.02914268,0.002591136,0.002211028,0.006773143,0.0005212738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.001027878,0.0004758734,0.2226073,0.003193908,0.0002595155,0.00337925,0.5012586,0.001021059,0.02429247,0.01066529,0.01502661,0.2167922],"study_design_scores_gemma":[0.0001417356,0.0002779425,0.519549,0.001211345,0.0003677257,0.00185902,0.3531558,0.01171187,0.009198511,0.002661925,0.09970481,0.0001604322],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9771134,0.0006642342,0.005936226,0.0003650908,0.00008180905,0.0003050526,0.004087922,0.00008724938,0.01135906],"genre_scores_gemma":[0.962512,0.000535983,0.02452833,0.0001318046,0.00003853935,0.0008720047,0.009651844,0.000149978,0.001579494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008672845,"threshold_uncertainty_score":0.03522003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02460284752504494,"score_gpt":0.3912956851806837,"score_spread":0.3666928376556388,"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."}}