{"id":"W2769968539","doi":"","title":"Review: The Global Education Race: Taking the Measure of PISA and International Testing","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Education / Revue canadienne de l éducation","topic":"Global Educational Policies and Reforms","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Race (biology); Measure (data warehouse); Achievement test; Psychology; Standardized test; Mathematics education; Sociology; Computer science; Gender studies","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.002123246,0.0001020082,0.0001481878,0.0001034339,0.001560849,0.000252293,0.0009194532,0.00006881569,0.00007061296],"category_scores_gemma":[0.01133915,0.00007145563,0.00007033249,0.0002632287,0.0004550367,0.0003990825,0.00001550362,0.0001900918,0.000002145291],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002430505,"about_ca_system_score_gemma":0.02272922,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3142052,"about_ca_topic_score_gemma":0.5844285,"domain_scores_codex":[0.9988689,0.0001485934,0.0004048226,0.0001200964,0.0001326755,0.0003248922],"domain_scores_gemma":[0.9957377,0.000113701,0.00137783,0.0003481596,0.001866415,0.0005561901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009020491,0.000122515,0.1212115,0.0002886681,0.0001146688,0.000001159577,0.08099742,0.00004361377,0.00002937266,0.1984759,0.2249366,0.3737696],"study_design_scores_gemma":[0.00007103091,0.00002086329,0.3405322,0.0013909,0.00008173202,0.00019995,0.04758068,0.00001141991,0.000002617876,0.0108154,0.5991741,0.0001190889],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5814647,0.02461601,0.00001903022,0.3181739,0.01595222,0.0005613737,0.00003200811,0.000005112663,0.05917563],"genre_scores_gemma":[0.9919325,0.001305403,0.0001961813,0.003388773,0.001809931,0.00001847122,0.000008512376,0.00000766118,0.00133264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4104677,"threshold_uncertainty_score":0.999739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07613259606913104,"score_gpt":0.3627331430155756,"score_spread":0.2866005469464446,"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."}}