{"id":"W2037543446","doi":"10.3200/socp.149.4.513-540","title":"The Role of Language in Ethnic Identity Measurement: A Multitrait-Multimethod Approach to Construct Validation","year":2009,"lang":"en","type":"article","venue":"The Journal of Social Psychology","topic":"Racial and Ethnic Identity Research","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Université de Montréal; Concordia University","funders":"","keywords":"Discriminant validity; Construct validity; Construct (python library); Ethnic group; Psychology; Variance (accounting); Scale (ratio); Convergent validity; Identity (music); Social psychology; Psychometrics; Developmental psychology; Computer science; Sociology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.09182414,0.0007864854,0.001449897,0.003368973,0.002265158,0.003783879,0.001699974,0.0009543548,0.0007123981],"category_scores_gemma":[0.1373089,0.0004994365,0.001499363,0.003207078,0.002085117,0.002245312,0.003296274,0.002210939,0.0001831228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001818344,"about_ca_system_score_gemma":0.004350353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004947845,"about_ca_topic_score_gemma":0.007498587,"domain_scores_codex":[0.9331883,0.05714754,0.002812333,0.001925912,0.004402756,0.0005231295],"domain_scores_gemma":[0.8925519,0.07895632,0.006352581,0.008937242,0.01245625,0.0007457759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004391591,0.001341942,0.5722384,0.001209652,0.002247741,0.0003799044,0.0205843,0.01018299,0.004661672,0.06068971,0.001990963,0.3240336],"study_design_scores_gemma":[0.0003506782,0.004408605,0.3438057,0.002891527,0.001864886,0.001093137,0.02078248,0.3631913,0.01706979,0.2264754,0.01753152,0.0005350594],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3753748,0.0017873,0.6107993,0.002021138,0.0004168471,0.002163337,0.0002453131,0.0001445677,0.007047486],"genre_scores_gemma":[0.6572034,0.0003448527,0.3389575,0.0004063296,0.00007103677,0.00216008,0.0001171489,0.00002990735,0.0007096933],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09182414,"threshold_uncertainty_score":0.4856182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1127084802668569,"score_gpt":0.4743096975993958,"score_spread":0.3616012173325389,"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."}}