{"id":"W2191184957","doi":"10.1075/aral.38.3.01cum","title":"Identities in motion","year":2015,"lang":"en","type":"article","venue":"Australian Review of Applied Linguistics","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Negotiation; Motion (physics); Construct (python library); Scholarship; Context (archaeology); Identity (music); Sociology; Field (mathematics); Space (punctuation); Process (computing); Core (optical fiber); Focus (optics); Identity negotiation; Isolation (microbiology); Epistemology; Linguistics; Computer science; Social science; Political science; Aesthetics; Mathematics; Artificial intelligence; Geography","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":[0.006148065,0.0004083875,0.0005105608,0.002116723,0.01027908,0.009909248,0.001154832,0.002938502,0.005661766],"category_scores_gemma":[0.008596865,0.0003043982,0.0004412092,0.001947094,0.04765253,0.01794012,0.01052235,0.003628739,0.001195511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005696177,"about_ca_system_score_gemma":0.005429943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008958578,"about_ca_topic_score_gemma":0.006020388,"domain_scores_codex":[0.9906297,0.005911693,0.0003331786,0.0009559095,0.001330635,0.0008388819],"domain_scores_gemma":[0.9960765,0.001426635,0.0006658192,0.0006262151,0.0005989153,0.0006058523],"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":[0.000008327333,0.000003887593,0.0004860293,0.00003028574,0.000002147242,0.00006973102,0.04027053,0.00006093114,0.0000778691,0.9494352,0.001592859,0.007962276],"study_design_scores_gemma":[0.000006253757,0.00002616253,0.001911577,0.0003391165,0.000007176926,0.000338551,0.06725972,0.0002921162,0.0002402846,0.5577259,0.3718286,0.00002455132],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.129085,0.01719858,0.04127029,0.05361148,0.001205759,0.0001201462,0.0001579805,0.00008553657,0.7572653],"genre_scores_gemma":[0.9698165,0.003197063,0.003022616,0.001750306,0.0001569441,0.00005200567,0.00006301369,0.00004040873,0.02190106],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01027908,"threshold_uncertainty_score":0.04132885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1545709116509953,"score_gpt":0.486994788419731,"score_spread":0.3324238767687357,"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."}}