{"id":"W2033098350","doi":"10.1080/0042098042000194142","title":"Social Capital and Trust in South-east Asian Cities","year":2004,"lang":"en","type":"article","venue":"Urban Studies","topic":"Social Capital and Networks","field":"Social Sciences","cited_by":94,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Social capital; Triangulation; East Asia; Ho chi minh; Capital city; Empirical research; Capital (architecture); Regional science; Geography; Sociology; Economic geography; Economic growth; Economy; Socioeconomics; Social science; Economics; Cartography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002078682,0.0001081923,0.000215311,0.00004954472,0.000791095,0.00004998688,0.00008290925,0.00008649276,0.00001518931],"category_scores_gemma":[0.00009088779,0.0001029469,0.00004982236,0.0002012759,0.0009246075,0.0001258768,0.00006725754,0.0001208251,0.00001621566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001290818,"about_ca_system_score_gemma":0.00005663764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00034325,"about_ca_topic_score_gemma":0.007042735,"domain_scores_codex":[0.9991035,0.00005547583,0.0001335843,0.0001712189,0.0002072692,0.0003289212],"domain_scores_gemma":[0.9997935,0.00002945272,0.00004244126,0.00003756204,0.00004487646,0.00005218156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000008656129,0.00001670791,0.02597154,0.000006795417,0.00003000965,0.000008351114,0.8932657,5.928682e-7,8.674592e-7,0.07779844,0.001425169,0.001467203],"study_design_scores_gemma":[0.0004822852,0.00003447256,0.05336569,0.00002248821,0.00001438831,3.358321e-7,0.8917016,2.217346e-7,0.00000202969,0.05101575,0.00317756,0.0001831316],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.956485,0.009347052,0.000001561489,0.0039802,0.0003048858,0.0001326988,0.000005448601,0.00006447246,0.02967866],"genre_scores_gemma":[0.9971431,0.0002096622,0.00002097522,0.0001263586,0.001131313,0.00001930914,9.810311e-7,0.00000795426,0.001340361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04065806,"threshold_uncertainty_score":0.6084543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04096256255509647,"score_gpt":0.3002052566483104,"score_spread":0.259242694093214,"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."}}