{"id":"W6992953407","doi":"","title":"Native Speakerism and Employment Discrimination in English Language Teaching","year":2023,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Thematic analysis; Affect (linguistics); Race (biology); English language; Racism; Employment discrimination","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.005068898,0.0001114186,0.000228799,0.002047259,0.003311482,0.004191693,0.0004659531,0.0007960488,0.003047431],"category_scores_gemma":[0.01538031,0.00009590411,0.0002737579,0.002803649,0.005278509,0.002214468,0.002269568,0.001032439,0.0001744746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005273204,"about_ca_system_score_gemma":0.01207216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0621752,"about_ca_topic_score_gemma":0.1251112,"domain_scores_codex":[0.9957193,0.001864789,0.0002686558,0.0002258499,0.001316574,0.0006049282],"domain_scores_gemma":[0.985473,0.009806385,0.002218156,0.0001587558,0.001455578,0.0008881901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001426685,0.0002507237,0.1681712,0.007402821,0.0001455303,0.003158998,0.3710176,0.0002454025,0.0007396163,0.1313139,0.01187569,0.3055358],"study_design_scores_gemma":[0.00002903583,0.0001548247,0.3018705,0.01621749,0.0002060162,0.002111864,0.5072935,0.0002821405,0.0008749317,0.03024892,0.1406317,0.00007903346],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6349294,0.188005,0.0009246377,0.04053807,0.001044903,0.00004359429,0.0001153295,0.00001323194,0.1343859],"genre_scores_gemma":[0.9620694,0.03330402,0.0002140633,0.001601981,0.0001890774,0.00001600717,0.00002547839,0.000004400674,0.002575513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0621752,"threshold_uncertainty_score":0.1236266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3174241238338231,"score_gpt":0.650568477409288,"score_spread":0.3331443535754649,"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."}}