{"id":"W6922375583","doi":"10.13140/2.1.2385.1846","title":"YOUNG GLOBAL CITY LEADERS: BUILDING AN EVIDENCE BASE IN LONDON, NEW YORK AND TORONTO TO SUPPORT THE NEXT GENERATION OF SCHOOL LEADERSHIP INNOVATION School Leadership Policy Landscape: Toronto, Canada YOUNG GLOBAL CITY LEADERS: BUILDING AN EVIDENCE BASE IN LONDON, NEW YORK AND TORONTO TO SUPPORT THE NEXT GENERATION OF SCHOOL LEADERSHIP INNOVATION School Leadership Policy Landscape: Toronto, Canada","year":2013,"lang":"en","type":"other","venue":"","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Global city; Global Leadership; Base (topology); Global South; Public policy","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","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.003499912,0.002007468,0.001909289,0.00113091,0.0007006639,0.00182087,0.002581202,0.001543285,0.004543876],"category_scores_gemma":[0.0063416,0.001867802,0.000175216,0.006214904,0.0005429793,0.01311927,0.0005317366,0.001409687,0.00002159109],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.0102666,"about_ca_system_score_gemma":0.01177627,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9965384,"about_ca_topic_score_gemma":0.9995075,"domain_scores_codex":[0.9882815,0.0005183108,0.003548584,0.002655582,0.002345223,0.002650723],"domain_scores_gemma":[0.9927644,0.0002968249,0.002290542,0.002493479,0.001452809,0.0007019633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004380753,0.0002190364,0.3082308,0.001159156,0.000280741,0.00002110293,0.00124823,0.0003223514,0.006404229,0.019152,0.6514093,0.01111501],"study_design_scores_gemma":[0.01475,0.002394036,0.2459454,0.01369386,0.001700678,0.0003269258,0.6658344,0.01220186,0.003128177,0.0008390056,0.02644709,0.01273863],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7366291,0.05329877,0.007473445,0.1641415,0.003749409,0.0172077,0.0004466379,0.001290834,0.01576257],"genre_scores_gemma":[0.9512611,0.000349876,0.002403329,0.02798305,0.007257598,0.0003650892,0.0007574648,0.0003568481,0.009265639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6645861,"threshold_uncertainty_score":0.9997529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2733457631417148,"score_gpt":0.3325427692055865,"score_spread":0.05919700606387168,"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."}}