{"id":"W2922832536","doi":"10.1002/9781118784235.eelt0814","title":"Geopolitics of Assessment","year":2018,"lang":"en","type":"other","venue":"The TESOL Encyclopedia of English Language Teaching","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Geopolitics; Test of English as a Foreign Language; Language assessment; Context (archaeology); Test (biology); Dimension (graph theory); Power (physics); Political science; Literacy; Language proficiency; Space (punctuation); English language; Politics; Linguistics; Sociology; Mathematics education; Pedagogy; Psychology; History; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01086617,0.0004644374,0.0004444056,0.00495823,0.006562524,0.01604448,0.001294073,0.003440689,0.01741494],"category_scores_gemma":[0.03159727,0.0004490121,0.0004072007,0.007307923,0.02414232,0.01167191,0.01003626,0.005648713,0.002308724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01053596,"about_ca_system_score_gemma":0.009565383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02148584,"about_ca_topic_score_gemma":0.01520162,"domain_scores_codex":[0.9823054,0.008218722,0.001084733,0.002357719,0.004336732,0.001696762],"domain_scores_gemma":[0.9825837,0.009753722,0.001416283,0.002033192,0.003332679,0.0008804202],"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":[0.000005121798,0.000004436108,0.0006320906,0.00001819278,0.000001699622,0.00004399717,0.001829379,0.00007919747,0.00001411953,0.9855769,0.004490265,0.007304604],"study_design_scores_gemma":[0.000008469277,0.00001577595,0.002654811,0.0003515237,0.0000060818,0.0002051448,0.00616728,0.0003188178,0.0001615626,0.529786,0.4603007,0.0000237332],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01488412,0.005395707,0.01997296,0.05024288,0.001010124,0.0001636356,0.0006724697,0.0001588185,0.9074993],"genre_scores_gemma":[0.8975989,0.005351499,0.007373668,0.009533989,0.001262172,0.0004576682,0.0005497556,0.0003133366,0.07755911],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02148584,"threshold_uncertainty_score":0.07644415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01968693756782255,"score_gpt":0.4095714804011054,"score_spread":0.3898845428332828,"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."}}