{"id":"W2480124418","doi":"10.21992/t9704z","title":"Alexander’s Gate and the Unclean Nations: Translation, Textual Appropriation, and the Construction of Barriers","year":2016,"lang":"en","type":"article","venue":"TranscUlturAl A Journal of Translation and Cultural Studies","topic":"Historical and Linguistic Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"MacEwan University","funders":"","keywords":"Romance; Vernacular; Appropriation; Literature; Audience measurement; History; Middle Ages; Redress; Altar; Multiculturalism; Classics; Art; Ancient history; Philosophy; Law; Linguistics; Theology","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0009064132,0.0001171795,0.0003251606,0.00003596364,0.001209769,0.00003702985,0.00007195322,0.00004545805,0.0000166279],"category_scores_gemma":[0.0005981384,0.00004098028,0.0001102238,0.0001761811,0.003440302,0.0002458986,0.000004413544,0.00009065044,1.905429e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002160661,"about_ca_system_score_gemma":0.00002801021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000128518,"about_ca_topic_score_gemma":0.0007446573,"domain_scores_codex":[0.9987256,0.000311069,0.0004628873,0.0001025363,0.0002841257,0.0001138041],"domain_scores_gemma":[0.9982865,0.0008362008,0.0002335602,0.00003181269,0.0005473565,0.00006456701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001362752,0.00001565388,0.001150453,0.00007385777,0.000813585,5.70747e-7,0.6430491,0.000008313265,0.000239992,0.2138971,0.000356752,0.1390319],"study_design_scores_gemma":[0.04312975,0.0003545165,0.0130274,0.0006506381,0.0022017,0.000145677,0.7238221,0.0001511906,0.0001224462,0.04904724,0.1666361,0.0007112544],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4026716,0.254373,0.004441192,0.32377,0.001296203,0.001870072,0.0000429202,0.0000658327,0.01146924],"genre_scores_gemma":[0.961311,0.03783657,0.0003600538,0.00005167797,0.0001728765,0.00000698347,4.25957e-7,0.000002697064,0.0002577225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5586394,"threshold_uncertainty_score":0.9992718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05031069717848993,"score_gpt":0.305648663636847,"score_spread":0.255337966458357,"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."}}