{"id":"W7036311670","doi":"","title":"âBut your face, it looks like youâre English:â LangCrit and the experiences of multilingual Japanese-Canadian children in Montréal","year":2014,"lang":"en","type":"other","venue":"eScholarship@McGill (McGill)","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multilingualism; Perspective (graphical); Immigration; Race (biology); Identity (music); Face (sociological concept); Qualitative research; First language","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001169384,0.0006768313,0.0008916902,0.0005726618,0.0003608478,0.0001976595,0.002295356,0.0006538962,0.0002904665],"category_scores_gemma":[0.0004860368,0.0005473433,0.0001898392,0.0004303143,0.0004099754,0.0003536435,0.0004922184,0.001190966,0.0001441795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001202123,"about_ca_system_score_gemma":0.000114949,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03314887,"about_ca_topic_score_gemma":0.04207086,"domain_scores_codex":[0.9960861,0.0004919683,0.0007064507,0.001202364,0.0006623769,0.0008507191],"domain_scores_gemma":[0.997544,0.0002076555,0.0003924478,0.001223377,0.0001684171,0.0004641019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006072178,0.001374231,0.00184879,0.001145514,0.001994036,0.0005948565,0.04397173,0.0007887942,0.0009823346,0.33025,0.01516207,0.6012804],"study_design_scores_gemma":[0.02080515,0.001114864,0.001788219,0.005766592,0.0004698378,0.0004477311,0.02191965,0.0269575,0.004428111,0.02043415,0.8845768,0.01129138],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3585223,0.003313681,0.00008262549,0.0003830699,0.002777873,0.002070338,0.0007840215,0.0007869733,0.6312792],"genre_scores_gemma":[0.9618444,0.0002348643,0.001433045,0.001370413,0.0001092602,0.0001167941,0.00002926825,0.0002230446,0.03463889],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8694147,"threshold_uncertainty_score":0.9996978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01534395314026792,"score_gpt":0.2321626821335778,"score_spread":0.2168187289933098,"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."}}