{"id":"W2570284203","doi":"10.1007/978-3-319-40317-5_55","title":"Wealth, Inequalities and ‘Hidden Injuries’ in the Global City: Educational Policy in London","year":2017,"lang":"en","type":"book-chapter","venue":"Springer international handbooks of education","topic":"Global Educational Policies and Reforms","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Regional Municipality of Waterloo","funders":"","keywords":"Inequality; Sociology; Political science; Geography; History; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001131532,0.0008535954,0.0007534181,0.001324826,0.003104244,0.009200676,0.0009780071,0.006498889,0.01753257],"category_scores_gemma":[0.00364476,0.0004552302,0.0004196703,0.003244975,0.01526571,0.009241574,0.007792992,0.006569737,0.001153156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01060956,"about_ca_system_score_gemma":0.0171199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09087991,"about_ca_topic_score_gemma":0.1642082,"domain_scores_codex":[0.998726,0.0003664311,0.00007002188,0.0001070202,0.0002303595,0.0005001972],"domain_scores_gemma":[0.9989653,0.0004540103,0.0001173032,0.00006011585,0.0001288135,0.0002745005],"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":[0.00003422173,0.00004985637,0.001600954,0.0003968017,0.00001683435,0.0001840835,0.009552577,0.00078044,0.00006401471,0.8305671,0.1240622,0.03269095],"study_design_scores_gemma":[0.00002705975,0.00004457274,0.006602418,0.00344794,0.00002434745,0.0001625973,0.02637774,0.0002678055,0.00009666204,0.4625628,0.5003364,0.00004969163],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02005069,0.1812518,0.00115456,0.5547979,0.005322075,0.00004102824,0.0006295457,0.00004257622,0.2367098],"genre_scores_gemma":[0.5558586,0.1946044,0.0007370986,0.04275319,0.007873055,0.0001768466,0.0006412438,0.0000972452,0.1972584],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09087991,"threshold_uncertainty_score":0.1807019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03004106283471277,"score_gpt":0.3783031495303468,"score_spread":0.348262086695634,"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."}}