{"id":"W2594098872","doi":"10.1017/s0047404516001007","title":"Metapragmatics of mobility","year":2017,"lang":"en","type":"article","venue":"Language in Society","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Semiotics; Emblem; Sociology; Macro; Power (physics); Space (punctuation); Economic geography; Epistemology; Linguistics; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007814236,0.00003496513,0.00009087185,0.000007427438,0.0002144995,0.00003174231,0.0002572579,0.00005876989,0.0003274978],"category_scores_gemma":[0.0008940226,0.00003326944,0.0000789352,0.00004628191,0.0002828164,0.00008286088,0.00002913447,0.00007297477,0.000007902529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003517454,"about_ca_system_score_gemma":0.0001276497,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02244772,"about_ca_topic_score_gemma":0.00486922,"domain_scores_codex":[0.9995063,0.0000576043,0.0001186705,0.00007023617,0.0001293365,0.0001178322],"domain_scores_gemma":[0.9994337,0.00008650965,0.0001073117,0.0002965585,0.00003575624,0.00004015481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00000143105,0.0001127604,0.02430836,0.00003360052,0.000009028555,5.051857e-7,0.948563,0.000001718334,0.0003196846,0.0107946,0.0008041812,0.01505114],"study_design_scores_gemma":[0.0008446694,0.00001682087,0.235238,0.00006432041,0.00002518666,2.906408e-7,0.6602212,0.0005270675,0.004204816,0.002706123,0.09582949,0.0003220609],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.914899,0.0001070038,0.00001030322,0.0007706212,0.0001621958,0.00008840761,0.000004697463,0.00001320842,0.0839446],"genre_scores_gemma":[0.9950995,0.00004614747,0.001787513,0.0001895249,0.0001289809,0.000004037836,9.584775e-7,0.000002695592,0.002740653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2883418,"threshold_uncertainty_score":0.9840619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07563085046067615,"score_gpt":0.5100391864113094,"score_spread":0.4344083359506333,"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."}}