{"id":"W4390346202","doi":"10.1080/15283488.2023.2293934","title":"Navigating Differential Micro-Racialization in the United States and Canada: A Mixed-Method Exploration of Multiethnic-Racial Individuals’ Malleable Racial Identification Strategies","year":2023,"lang":"en","type":"article","venue":"Identity","topic":"Racial and Ethnic Identity Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Racialization; Identification (biology); Differential (mechanical device); Self identification; Racial group; Racial formation theory; Gender studies; Race (biology); Criminology; Sociology; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003769739,0.000125832,0.0002054636,0.0001882165,0.0009345686,0.0006020351,0.0004242674,0.000131792,0.00003595346],"category_scores_gemma":[0.0009917693,0.0001193597,0.00004714889,0.00179533,0.0002688709,0.001953662,0.0001255362,0.0003227992,0.00001025284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001550466,"about_ca_system_score_gemma":0.0005833238,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9150949,"about_ca_topic_score_gemma":0.9889687,"domain_scores_codex":[0.9963626,0.0012609,0.0005185169,0.0002789315,0.001150408,0.0004286021],"domain_scores_gemma":[0.9988521,0.0003641016,0.000259352,0.0001629687,0.0002934178,0.00006808677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001571888,0.0004437552,0.1748858,0.0005635858,0.0001408218,0.00004314473,0.7296687,0.00513913,0.01360436,0.04513918,0.003984594,0.02622976],"study_design_scores_gemma":[0.0008245443,0.00003890257,0.6518381,0.0001274337,0.00005585087,9.376409e-7,0.3071825,0.003901005,0.001262755,0.03206775,0.002310968,0.0003892822],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930942,0.00004600545,0.004077214,0.001575823,0.000536193,0.0004795,0.00004862982,0.00004579787,0.00009665384],"genre_scores_gemma":[0.9984848,0.0005800981,0.00008586267,0.00003291641,0.0002322472,0.00005463372,0.0003622783,0.00001108367,0.000156114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4769523,"threshold_uncertainty_score":0.7188041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06314103187628214,"score_gpt":0.4056623563120597,"score_spread":0.3425213244357775,"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."}}