{"id":"W7120569619","doi":"","title":"DAS AVALIAÇÕES EM LARGA ESCALA À BASE NACIONAL COMUM CURRICULAR (BNCC): A LÓGICA DE PADRONIZAÇÃO COMO POLÍTICA EDUCACIONAL","year":2024,"lang":"pt","type":"dissertation","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Education Pedagogy and Practices","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Constitution; Context (archaeology); Legislation; Contradiction; Public policy; Object (grammar); Perspective (graphical); Dialectic","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.003751626,0.001703638,0.001490349,0.001335385,0.004481297,0.001819882,0.002218364,0.002976247,0.002579706],"category_scores_gemma":[0.002945323,0.001775467,0.001173094,0.002456377,0.0001692537,0.00162852,0.0004252162,0.004041721,0.0006218237],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002470707,"about_ca_system_score_gemma":0.01079089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003916955,"about_ca_topic_score_gemma":0.003241998,"domain_scores_codex":[0.9861955,0.003382575,0.002167279,0.002516297,0.003332719,0.002405609],"domain_scores_gemma":[0.991285,0.002045892,0.001633222,0.001226932,0.001745525,0.002063474],"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":[0.0005962389,0.002819663,0.000635137,0.0007686729,0.0009915743,0.0005370337,0.06190563,0.00006474194,0.0004661823,0.9043635,0.02540007,0.0014516],"study_design_scores_gemma":[0.001140955,0.0001778733,0.002371585,0.001318802,0.001107488,0.00119364,0.04869855,0.0009687449,0.0003642529,0.003718902,0.9370497,0.001889512],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2609623,0.02437084,0.003682039,0.3308997,0.04083834,0.005863208,0.002881415,0.00293531,0.3275667],"genre_scores_gemma":[0.9705349,0.001442332,0.001791766,0.001042633,0.00365959,0.0007491545,0.005377673,0.000243795,0.0151582],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9116496,"threshold_uncertainty_score":0.999571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03529489007503323,"score_gpt":0.335023728603715,"score_spread":0.2997288385286818,"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."}}