{"id":"W1497317294","doi":"","title":"Teaching How to Discriminate: Globalization, Prejudice, and Textbooks.","year":2011,"lang":"en","type":"article","venue":"Teacher education quarterly (Claremont, Calif.)","topic":"Global Education and Multiculturalism","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Globalization; Foreign language; Language policy; Language education; Pedagogy; Sociology; Politics; Sociology of language; Ideology; Language assessment; Government (linguistics); First language; Political science; Comprehension approach; Linguistics; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003426423,0.0002855446,0.0002371303,0.001298276,0.003551459,0.006022225,0.0007967083,0.001729959,0.004756369],"category_scores_gemma":[0.01401086,0.0001909699,0.0001715527,0.001624531,0.006053188,0.005974239,0.004452267,0.003035048,0.0005371532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002282758,"about_ca_system_score_gemma":0.002212485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004626235,"about_ca_topic_score_gemma":0.01167276,"domain_scores_codex":[0.9971834,0.001580191,0.0001311268,0.0002364996,0.0006633749,0.0002053778],"domain_scores_gemma":[0.9911389,0.002971072,0.003328747,0.00040189,0.0009814614,0.001177907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005970848,0.0005927042,0.1395321,0.0003819259,0.00004780138,0.0008943091,0.5302294,0.0001045175,0.0007590221,0.1154223,0.02563704,0.1863392],"study_design_scores_gemma":[0.00002961267,0.0001273909,0.1994753,0.001503087,0.00008159914,0.0007724138,0.4956079,0.0002424144,0.001061562,0.03077994,0.2702473,0.00007146777],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8007001,0.01518964,0.0009214607,0.04791277,0.0005934103,0.00004033174,0.00005521988,0.00002479913,0.1345623],"genre_scores_gemma":[0.98234,0.003074019,0.0003785724,0.004992764,0.0001019483,0.0000271126,0.00003568271,0.00001248302,0.00903744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006022225,"threshold_uncertainty_score":0.01812083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03580935432271432,"score_gpt":0.3275799349777642,"score_spread":0.2917705806550499,"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."}}