{"id":"W2165228648","doi":"10.7202/019579ar","title":"L2 Writing and L1 Composition in English: Towards an alignment of effort","year":2008,"lang":"en","type":"article","venue":"McGill Journal of Education / Revue des sciences de l éducation de McGill","topic":"Discourse Analysis in Language Studies","field":"Arts and Humanities","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Mainstream; Composition (language); Diversity (politics); Wonder; Composition studies; Second language writing; Linguistics; Inclusion (mineral); Pedagogy; Linguistic diversity; Sociology; Psychology; Mathematics education; Second language; Political science; Social psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001316762,0.0001157665,0.0002440066,0.000451733,0.0008560806,0.00005560252,0.0002263589,0.00003059829,0.0001504058],"category_scores_gemma":[0.0002002217,0.0001056532,0.00007342691,0.0001989493,0.0007959037,0.000829589,0.00002787234,0.0001094013,0.000001112802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004227395,"about_ca_system_score_gemma":0.0002134577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000349094,"about_ca_topic_score_gemma":0.0004602121,"domain_scores_codex":[0.9986266,0.0001329105,0.0005980363,0.0001691573,0.0002698927,0.0002033871],"domain_scores_gemma":[0.9985431,0.00007574262,0.0005246698,0.0001179903,0.0006399421,0.00009851466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008262059,0.002923086,0.04146498,0.0004109563,0.0001857626,0.00002565009,0.5909401,0.002964777,0.001608691,0.3217495,0.002300788,0.03534314],"study_design_scores_gemma":[0.001342213,0.001874593,0.1350805,0.001992839,0.0004588668,0.001591941,0.7709647,0.001992489,0.008868165,0.02502297,0.0497084,0.001102346],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9604193,0.0004700015,0.00002822019,0.000365618,0.0006300471,0.00008093135,0.00001486462,0.000008982749,0.03798205],"genre_scores_gemma":[0.9952229,0.0003604077,0.003483993,0.0002886599,0.000367922,0.000009048907,0.000005189356,0.000008212821,0.0002537272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2967265,"threshold_uncertainty_score":0.6584366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2509317507619666,"score_gpt":0.3927740569803395,"score_spread":0.1418423062183729,"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."}}