{"id":"W2288510472","doi":"10.1111/sjtg.12143","title":"Smell this: Singapore's curry day and visceral citizenship","year":2016,"lang":"en","type":"article","venue":"Singapore Journal of Tropical Geography","topic":"Socioeconomic Development in Asia","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Forces College; University of Toronto; York University","funders":"","keywords":"Citizenship; Framing (construction); Curry; Immigration; National identity; Politics; Cognitive reframing; Ethnic group; Gender studies; Harmony (color); Political science; Sociology; Media studies; Social psychology; Geography; Psychology; Law; Art","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":[0.00118613,0.0001999809,0.0004091131,0.0003217354,0.0004319555,0.0001570309,0.000412263,0.0002007044,0.0006743917],"category_scores_gemma":[0.0006452192,0.0001397004,0.000309685,0.0002489432,0.001085795,0.000326244,0.00006837901,0.0003445018,0.00002888062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001297188,"about_ca_system_score_gemma":0.0002422639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003014807,"about_ca_topic_score_gemma":0.00001214581,"domain_scores_codex":[0.9976151,0.0003883179,0.000679174,0.0002502514,0.000544825,0.0005223497],"domain_scores_gemma":[0.9980379,0.0006091457,0.0005364753,0.0001593894,0.0002285917,0.0004285005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006541007,0.00007820022,0.9111809,0.00001220479,0.0002094285,0.00006777468,0.003284652,2.303731e-7,0.0003843756,0.01401135,0.01174971,0.05895575],"study_design_scores_gemma":[0.00189265,0.0002749071,0.7887185,0.0003345233,0.0001037714,0.0000627125,0.001685425,0.000001233254,0.0002331805,0.06086968,0.1453284,0.0004950064],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9620387,0.00101205,0.0004942713,0.01004032,0.001713209,0.0001497873,0.000006851828,0.0000601359,0.02448465],"genre_scores_gemma":[0.9942915,0.0006605511,0.003041682,0.000500778,0.0009559678,0.000001848504,6.112165e-7,0.00002094378,0.0005261186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1335787,"threshold_uncertainty_score":0.7384116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01657802622146358,"score_gpt":0.2758197759974487,"score_spread":0.2592417497759851,"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."}}