{"id":"W435539004","doi":"10.5206/cie-eci.v36i2.9098","title":"Seeing Near and Far: Balancing Stakeholder Needs and Rights in Kazakhstan’s Educational Reform","year":2007,"lang":"en","type":"article","venue":"Comparative and International Education","topic":"Global Educational Policies and Reforms","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Political science; Humanities; Sociology; Public administration","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06489416,0.000384065,0.0007733142,0.003237086,0.01164646,0.01540514,0.001584718,0.00298271,0.003293598],"category_scores_gemma":[0.05159894,0.0003647602,0.0004454904,0.004615282,0.02388269,0.01403317,0.01613422,0.00424421,0.0002450244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02969715,"about_ca_system_score_gemma":0.03760178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.038124,"about_ca_topic_score_gemma":0.04885194,"domain_scores_codex":[0.9311136,0.0476309,0.003850296,0.00237086,0.009316953,0.00571751],"domain_scores_gemma":[0.9720519,0.0156705,0.002681965,0.002562147,0.005591416,0.001442018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001767425,0.0001377678,0.02121386,0.000700236,0.00004419044,0.000308385,0.3381998,0.001399989,0.001159722,0.4936256,0.004207888,0.1388258],"study_design_scores_gemma":[0.0000692879,0.0003210874,0.07696339,0.002001155,0.0001055337,0.0002301728,0.5932708,0.001291978,0.003220633,0.141479,0.1809025,0.0001444095],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7255479,0.008646753,0.01093903,0.1271944,0.0005107786,0.0003714956,0.0001448996,0.00007971897,0.126565],"genre_scores_gemma":[0.993425,0.0005779487,0.001447825,0.002511853,0.00004120026,0.0001232238,0.00002768165,0.000009833227,0.001835454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06489416,"threshold_uncertainty_score":0.3431972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06149752378242885,"score_gpt":0.3913456557117196,"score_spread":0.3298481319292907,"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."}}