{"id":"W2973419612","doi":"10.1111/josi.12353","title":"I Don't See Race (or Conflict): Strategic Descriptions of Ambiguous Negative Intergroup Contexts","year":2019,"lang":"en","type":"article","venue":"Journal of Social Issues","topic":"Social and Intergroup Psychology","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg; York University; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Canada Foundation for Innovation","keywords":"Social psychology; Psychology; Race (biology); Context (archaeology); White (mutation); Blindness; Diversity (politics); Prejudice (legal term); Group conflict; Gender studies; Sociology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002493059,0.0003800756,0.0001691249,0.0004480405,0.0008593447,0.001415812,0.0003151111,0.0006224829,0.001472618],"category_scores_gemma":[0.01293649,0.0001978245,0.0001346712,0.0001458833,0.001274238,0.001423596,0.001385774,0.0006558407,0.0001446273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002231873,"about_ca_system_score_gemma":0.0001892193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006505756,"about_ca_topic_score_gemma":0.001398394,"domain_scores_codex":[0.9976541,0.00177052,0.00007785283,0.0001288285,0.0002641656,0.0001044638],"domain_scores_gemma":[0.9945141,0.003228033,0.00140371,0.0003917457,0.0002311346,0.0002312292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.003093118,0.0005716422,0.2097764,0.0009908722,0.0001553541,0.00279684,0.4990972,0.001566041,0.157263,0.01724054,0.001919502,0.1055295],"study_design_scores_gemma":[0.0001427314,0.002538434,0.3673962,0.000972128,0.0003409908,0.005997004,0.5224394,0.01626769,0.03791725,0.01886249,0.02675881,0.0003668528],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945989,0.00008389565,0.001652305,0.00008171193,0.0000119715,0.00001470818,0.00000774636,0.000008368434,0.003540459],"genre_scores_gemma":[0.9987513,0.00004190329,0.0009091587,0.00005062066,0.00000529302,0.00001035674,0.000007192654,0.000004162225,0.0002199967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002493059,"threshold_uncertainty_score":0.01318467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05740243247652084,"score_gpt":0.3841524157945037,"score_spread":0.3267499833179829,"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."}}