{"id":"W4294043381","doi":"10.4018/978-1-6684-5034-5.ch018","title":"Pluriculturalism and Plurilingualism in English for Academic Purposes","year":2022,"lang":"en","type":"book-chapter","venue":"Advances in educational technologies and instructional design book series","topic":"Second Language Learning and Teaching","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McMaster University","funders":"","keywords":"Sociocultural evolution; Curriculum; Multiculturalism; Pedagogy; Equity (law); Inclusion (mineral); Diversity (politics); Context (archaeology); English for academic purposes; Sociology; Political science; Mathematics education; Psychology; Social science; Geography","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":[0.001545956,0.000384487,0.0002669852,0.000740161,0.01012311,0.008997109,0.0007702527,0.0007766382,0.00333455],"category_scores_gemma":[0.001971653,0.0001764458,0.0001709104,0.001076159,0.02175112,0.004434544,0.006597752,0.0026269,0.0003588119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009827525,"about_ca_system_score_gemma":0.01212286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1202139,"about_ca_topic_score_gemma":0.3003609,"domain_scores_codex":[0.9979486,0.0008917031,0.00004143304,0.0001291782,0.0005119326,0.0004772374],"domain_scores_gemma":[0.9989485,0.0005249251,0.00007297291,0.0000927232,0.0001290749,0.0002317423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001989658,0.00002801796,0.001263808,0.0001444517,0.00000279399,0.0006806887,0.4400991,0.00009428929,0.0008675892,0.4968062,0.005984106,0.05400912],"study_design_scores_gemma":[0.000004647802,0.00003098362,0.004462492,0.0004358123,0.000008005661,0.000992513,0.3030311,0.0001953234,0.0007820688,0.02904814,0.6609858,0.0000230128],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1468331,0.007210557,0.005654787,0.008570094,0.0003206991,0.000060073,0.0000397737,0.00006623999,0.8312448],"genre_scores_gemma":[0.8969774,0.003333868,0.001606426,0.0006011678,0.00006890119,0.00003515663,0.00003795636,0.00006182356,0.09727733],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1202139,"threshold_uncertainty_score":0.2390283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02269441668067594,"score_gpt":0.2548681970882991,"score_spread":0.2321737804076231,"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."}}