{"id":"W2154665840","doi":"","title":"A TALE OF TWO PROVINCES: WHO MAKES STRONGER VERTICAL EQUITY EFFORTS?","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Educational Administration and Policy","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Disadvantaged; Equity (law); Educational equity; Economic growth; Political science; Economics; Demographic economics; Sociology; Pedagogy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003739903,0.0002364855,0.0004196837,0.001081046,0.007036183,0.003832964,0.0007771397,0.001363506,0.004217702],"category_scores_gemma":[0.008096383,0.0002352493,0.0002863052,0.002065619,0.004245214,0.002343603,0.003140226,0.001256576,0.0001407147],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05742407,"about_ca_system_score_gemma":0.103666,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9714456,"about_ca_topic_score_gemma":0.9879551,"domain_scores_codex":[0.9951965,0.0007018711,0.00009910442,0.0002494866,0.001152365,0.002600723],"domain_scores_gemma":[0.9924577,0.001069473,0.0009335968,0.000249619,0.002308594,0.002980982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009718994,0.0002825995,0.6120312,0.0006640127,0.0002793815,0.001173506,0.03861288,0.001700326,0.00338851,0.145524,0.0453213,0.1500503],"study_design_scores_gemma":[0.0001812091,0.0001605748,0.7848799,0.0005980788,0.0002025312,0.0001455537,0.07861225,0.0009020339,0.001393135,0.01094967,0.1218531,0.000121908],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8293952,0.003320282,0.0005817608,0.08183312,0.0002082718,0.0001306358,0.0005873632,0.0000286298,0.0839147],"genre_scores_gemma":[0.9901321,0.0005948048,0.0003941067,0.002727464,0.00002177148,0.00001977969,0.0001097426,0.000006099488,0.005994176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9425759,"threshold_uncertainty_score":0.4166427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03698103486211882,"score_gpt":0.3657287727126345,"score_spread":0.3287477378505157,"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."}}