{"id":"W2031441025","doi":"10.3138/cmlr.1381","title":"Adolescent Multilingual Writer’s Negotiation of Multiple Identities and Access to Academic Writing: A Case Study of a <i>Jogi Yuhak</i> Student in a US High School","year":2013,"lang":"en","type":"article","venue":"Canadian Modern Language Review/ La Revue canadienne des langues vivantes","topic":"Discourse Analysis in Language Studies","field":"Arts and Humanities","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pseudonym; Identity (music); Negotiation; Pedagogy; Literacy; Sociology; Mathematics education; Construct (python library); General partnership; Psychology; Computer science; Political science; Social science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0004951525,0.0003632422,0.0009431075,0.0006975926,0.0001675447,0.0001736524,0.0005025879,0.00007354641,0.0002945937],"category_scores_gemma":[0.0008252549,0.0003394564,0.000118825,0.000252667,0.000266604,0.0004930685,0.0001864081,0.0003025625,0.000007321626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002942378,"about_ca_system_score_gemma":0.0001052886,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7456724,"about_ca_topic_score_gemma":0.9702575,"domain_scores_codex":[0.9974788,0.0002441304,0.0009706842,0.0004980494,0.0001828283,0.0006254479],"domain_scores_gemma":[0.9980401,0.0002227639,0.0003313404,0.0005036059,0.0003762048,0.0005260232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000018627,0.000402262,0.2204325,0.006272368,0.0004882806,0.005418727,0.7384048,0.0001252244,0.001474612,0.0004264706,0.001003989,0.02553215],"study_design_scores_gemma":[0.001918296,0.0003996392,0.1804473,0.01343332,0.000835304,0.0006058497,0.7992988,0.0007056101,0.0001625075,0.000190846,0.0007822042,0.001220336],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9677755,0.02959835,0.00000512391,0.0001610252,0.00009871019,0.001650911,0.0002711009,0.00002685104,0.0004124107],"genre_scores_gemma":[0.9969874,0.001595845,0.0000722995,0.0005526362,0.0001981834,0.0002338488,0.00003632639,0.00005042078,0.0002730496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2245851,"threshold_uncertainty_score":0.9999058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03060272768752064,"score_gpt":0.2977500870255239,"score_spread":0.2671473593380033,"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."}}