{"id":"W4405808564","doi":"10.1016/j.labeco.2024.102671","title":"Teaching for happiness: The impact of teachers’ education on student mental health","year":2024,"lang":"en","type":"article","venue":"Labour Economics","topic":"Early Childhood Education and Development","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Happiness; Mental health; Labour economics; Psychology; Economics; Demographic economics; Medical education; Mathematics education; Pedagogy; Business; Social psychology; Medicine; Psychiatry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008868946,0.0000620072,0.00008675425,0.00005117243,0.0003427556,0.0001253692,0.0001489042,0.00002609155,0.00006236645],"category_scores_gemma":[0.00003164258,0.00004589159,0.00007521411,0.0000516757,0.00003377707,0.0001014989,0.00001247701,0.00008709982,0.0000190046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006414035,"about_ca_system_score_gemma":0.00266982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004480618,"about_ca_topic_score_gemma":0.0006264516,"domain_scores_codex":[0.9994434,0.00006445503,0.0001736209,0.0001242291,0.00005181076,0.0001424451],"domain_scores_gemma":[0.9996698,0.00008097177,0.00007223768,0.00009370904,0.00001900057,0.00006428735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003735125,0.0001717395,0.004969672,0.00001088929,0.00006394065,9.358346e-9,0.3325948,0.00007714076,0.000003328164,0.562045,0.0131756,0.08688421],"study_design_scores_gemma":[0.0002706296,0.0002006058,0.2490292,0.0001232895,0.000008068725,8.28872e-7,0.0956545,0.00004986386,0.00001685098,0.04159767,0.612827,0.0002214561],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9663454,0.0003005407,0.00002162708,0.02464701,0.001172232,0.000432187,0.00002639377,0.00002759376,0.007027054],"genre_scores_gemma":[0.9929694,0.0001864233,0.0003052899,0.0007922182,0.0004333168,0.00002924832,0.00001679848,0.000009083455,0.005258228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5996514,"threshold_uncertainty_score":0.6773384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02055205720579413,"score_gpt":0.3903055199291838,"score_spread":0.3697534627233897,"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."}}