{"id":"W2245379832","doi":"10.1080/00083968.2013.770593","title":"Looking beyond the urban poor in South Africa: the new terra incognita for urban geography?","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of African Studies / Revue canadienne des études africaines","topic":"Urban and Rural Development Challenges","field":"Social Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scholarship; Urbanization; Urban studies; Context (archaeology); Scrutiny; Urban planning; Human settlement; Urban geography; Poverty; Urban poverty; Urban density; Political science; Geography; Economic growth; Sociology; Development economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001810416,0.0003936495,0.0006735311,0.0006900365,0.002043759,0.0003046694,0.00140837,0.0001316869,0.00008085708],"category_scores_gemma":[0.00220311,0.000245335,0.0003317477,0.001474305,0.001697764,0.0004231017,0.00007587522,0.0004459453,0.00000706976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001044055,"about_ca_system_score_gemma":0.001647798,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04702505,"about_ca_topic_score_gemma":0.8116026,"domain_scores_codex":[0.9966537,0.0002850719,0.0008354794,0.0003574895,0.0002623423,0.001605854],"domain_scores_gemma":[0.9957337,0.001120491,0.0005555697,0.000312751,0.001016662,0.001260876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002840915,0.00002812895,0.02006841,0.00007132354,0.00071899,0.0001010702,0.8712735,0.00001862341,0.000017403,0.0203358,0.07930479,0.008033509],"study_design_scores_gemma":[0.0005867474,0.0002387968,0.01954288,0.0002646823,0.0001657628,0.00002463132,0.5208825,0.000009380953,0.000003204347,0.01222096,0.445568,0.0004924213],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.760831,0.08108894,0.00005376577,0.125137,0.003193873,0.003008961,0.0001050743,0.00006067268,0.02652074],"genre_scores_gemma":[0.9941913,0.0005373473,0.0004277231,0.0005785828,0.001277545,0.00009945697,0.000001727238,0.00004328251,0.002843013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7645776,"threshold_uncertainty_score":0.9999999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03976903804583656,"score_gpt":0.2428681736333501,"score_spread":0.2030991355875135,"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."}}