{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1029053,0.001364046,0.002871804,0.01710468,0.004519625,0.01498235,0.00501153,0.004232287,0.0173352],"category_scores_gemma":[0.2326939,0.002115066,0.002083283,0.02429568,0.004713877,0.006251103,0.008412361,0.007800319,0.002071027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1137708,"about_ca_system_score_gemma":0.4763366,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.831256,"about_ca_topic_score_gemma":0.9642659,"domain_scores_codex":[0.9361523,0.02676714,0.01000093,0.00169696,0.02202525,0.003357383],"domain_scores_gemma":[0.6191574,0.1301004,0.0271995,0.009065191,0.1738075,0.04067007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004580666,0.0002584441,0.01406099,0.03086471,0.001096237,0.0003111004,0.003312935,0.001390457,0.0002127647,0.01186884,0.7017817,0.2343837],"study_design_scores_gemma":[0.001383443,0.0002804579,0.0655454,0.2952233,0.003454173,0.0001631638,0.01225142,0.001592728,0.0009456683,0.01133022,0.6074353,0.0003947122],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01139101,0.3044086,0.008606829,0.5096004,0.004914225,0.01019223,0.04482828,0.0005970593,0.1054613],"genre_scores_gemma":[0.2383827,0.4389552,0.1218891,0.08512147,0.002960663,0.02124364,0.04924675,0.0008506295,0.04134994],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.168744,"threshold_uncertainty_score":0.8254688,"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."}}