{"id":"W4288036445","doi":"10.1002/tesq.3172","title":"Addressing Culture in <scp>L2</scp> Writing: Teaching Strategies for the <scp>EAP</scp> Classroom","year":2022,"lang":"en","type":"article","venue":"TESOL Quarterly","topic":"Discourse Analysis in Language Studies","field":"Arts and Humanities","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia; University of Calgary","funders":"","keywords":"Heuristics; Scholarship; Conceptualization; Second language writing; Pedagogy; Curriculum; Mathematics education; Set (abstract data type); Dialectic; Teaching method; Sociology; Psychology; Second language; Computer science; Linguistics; Theology; Political science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002238383,0.0005907394,0.0002661524,0.0008980082,0.002136033,0.004250747,0.001308097,0.000992252,0.002054412],"category_scores_gemma":[0.005690039,0.0002306789,0.0002617365,0.0005279605,0.002230955,0.001963662,0.002824424,0.002434463,0.0005092648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001004115,"about_ca_system_score_gemma":0.00344566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001044474,"about_ca_topic_score_gemma":0.002404106,"domain_scores_codex":[0.9986646,0.0008754815,0.00004847258,0.0001055677,0.0002100316,0.00009587754],"domain_scores_gemma":[0.9953901,0.00295187,0.0003640099,0.0001867341,0.0004551904,0.0006520665],"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":[0.0001223673,0.002131827,0.01222259,0.001372976,0.00003265574,0.00118158,0.1864232,0.001675344,0.02329032,0.03022208,0.01166877,0.7296563],"study_design_scores_gemma":[0.0003676855,0.002075113,0.02700647,0.003985135,0.0002040518,0.003982419,0.5679701,0.0277975,0.07059494,0.09499765,0.2007581,0.0002608844],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6876458,0.002028064,0.1866019,0.01765259,0.000422804,0.000824097,0.00003562393,0.0009723403,0.1038167],"genre_scores_gemma":[0.8662438,0.001289914,0.1243656,0.0008615603,0.00005021951,0.0004347741,0.00002308266,0.00007539179,0.006655667],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.004250747,"threshold_uncertainty_score":0.01183784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04866969333057101,"score_gpt":0.3029925400436111,"score_spread":0.2543228467130401,"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."}}