{"id":"W7160079542","doi":"10.18357/mmd71202522270","title":"Conceptualizing the Effects of Anti-Asian Racism on Health and Mental Well-Being in the Social Media Space","year":2025,"lang":"","type":"article","venue":"Migration Mobility & Displacement","topic":"Racial and Ethnic Identity Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Racism; Mental health; Space (punctuation); Psychometrics of racism; Social media; Ethnic group; Prejudice (legal term); Face (sociological concept)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.005533423,0.0002194835,0.0003922495,0.0001219087,0.002065091,0.0002407174,0.0004412359,0.0001356783,0.00005886272],"category_scores_gemma":[0.000852534,0.0001514488,0.0001404334,0.0009097379,0.001285939,0.0002073111,0.0001583343,0.0004575838,0.00001118943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003450068,"about_ca_system_score_gemma":0.0004962482,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006016364,"about_ca_topic_score_gemma":0.05863546,"domain_scores_codex":[0.9940248,0.003136548,0.0006628842,0.0004691696,0.001155482,0.0005511701],"domain_scores_gemma":[0.9976234,0.001665968,0.0002458184,0.0002872753,0.00008051895,0.00009700537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001892617,0.0008656211,0.01630987,0.0007226064,0.00006358745,0.000001842503,0.889149,0.000009962389,0.0006865319,0.07131668,0.005343992,0.01534111],"study_design_scores_gemma":[0.002133981,0.0005713316,0.18406,0.0007926953,0.00006499251,3.670869e-7,0.7895094,0.00049786,0.001391784,0.004868222,0.01579293,0.0003164702],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9221609,0.001167349,0.00005673134,0.07098895,0.0007446412,0.002398585,0.000009596835,0.00000912231,0.002464133],"genre_scores_gemma":[0.9962385,0.002155327,0.000004326838,0.0009735464,0.0001422022,0.0001155888,0.000020479,0.000005719944,0.0003443455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1677501,"threshold_uncertainty_score":0.9992341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01725705462127365,"score_gpt":0.3729362333617267,"score_spread":0.355679178740453,"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."}}