{"id":"W2571788286","doi":"10.5206/cie-eci.v45i3.9298","title":"Collaborating in (mis)translation: Opportunities lost and found during a multi year exchange program between Canada and China","year":2016,"lang":"en","type":"article","venue":"Comparative and International Education","topic":"Discourse Analysis in Language Studies","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Storytelling; TRIPS architecture; Narrative; China; Cultural exchange; Perception; Power (physics); Pedagogy; Sociology; Political science; Public relations; Medical education; Psychology; Computer science; Medicine; Linguistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006509382,0.00009109152,0.0001269406,0.00009353201,0.0001320952,0.0001230073,0.00004181702,0.00001248263,0.0002132826],"category_scores_gemma":[0.00002084691,0.00006940553,0.000008687996,0.0000260164,0.000172158,0.0003343475,0.00002297808,0.00003757723,0.000001162053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005319658,"about_ca_system_score_gemma":0.0001146909,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01843192,"about_ca_topic_score_gemma":0.471256,"domain_scores_codex":[0.9994913,0.00002896692,0.000155128,0.0001462887,0.00009711356,0.00008120809],"domain_scores_gemma":[0.9996511,0.00005480672,0.00007206832,0.00004425867,0.0001421153,0.00003562608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00009545747,0.0003831563,0.3194449,0.0002245429,0.0006230826,0.000007198814,0.3253816,0.000002252373,0.0001355346,0.05806902,0.006382226,0.289251],"study_design_scores_gemma":[0.00146788,0.0001008266,0.7326357,0.0004900536,0.00007389747,0.00000443527,0.1520442,0.0002029844,0.00009776799,0.0009422732,0.1114814,0.0004585449],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98143,0.001587128,0.000008623581,0.001454502,0.0001951478,0.0001941213,0.00005205871,0.000008801443,0.01506965],"genre_scores_gemma":[0.9902087,0.0001626563,0.0001825246,0.00003723776,0.0003245373,0.00005138927,0.00003052678,0.000004754796,0.008997708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4528241,"threshold_uncertainty_score":0.9881044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1628840714640603,"score_gpt":0.3688412430324079,"score_spread":0.2059571715683476,"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."}}