{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001423918,0.0001886376,0.0003451735,0.0001812,0.0001574527,0.00002023575,0.0006929958,0.0002219232,0.005616561],"category_scores_gemma":[0.004564657,0.000145672,0.000117967,0.0001300121,0.0005116132,0.00004133104,0.00008459981,0.000393702,0.00002996878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000612307,"about_ca_system_score_gemma":0.000562747,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02826655,"about_ca_topic_score_gemma":0.002433884,"domain_scores_codex":[0.9981352,0.0005529467,0.0003467805,0.0001846242,0.0004555414,0.0003249162],"domain_scores_gemma":[0.9982338,0.0004699565,0.0005177006,0.0005336287,0.0001409172,0.0001039833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002258195,0.0001394073,0.0003897615,0.0001302643,0.0000692681,9.582393e-7,0.6356509,4.949992e-7,0.000002782383,0.11364,0.2408009,0.009172887],"study_design_scores_gemma":[0.0001066436,0.00002070205,0.00003486856,0.0001466964,0.00005323196,8.818801e-8,0.06477416,0.000003724136,0.000009698841,0.0002201879,0.9344849,0.0001450718],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004244191,0.0004402606,0.00002425525,0.00004289734,0.001744756,0.0003324106,0.00005467238,0.0001668508,0.9929497],"genre_scores_gemma":[0.03303567,0.0004096591,0.002865401,0.000134019,0.009913932,0.00001416621,0.00003194182,0.0001871389,0.9534081],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.693684,"threshold_uncertainty_score":0.9952924,"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."}}