{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001023313,0.0002551764,0.0002123319,0.0003830233,0.005326319,0.005238308,0.0002836553,0.0009739747,0.00371378],"category_scores_gemma":[0.001127897,0.0001691798,0.0003102364,0.0005328793,0.007677792,0.002998042,0.004954613,0.00210233,0.0003726421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001682,"about_ca_system_score_gemma":0.0009262074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007280719,"about_ca_topic_score_gemma":0.02138412,"domain_scores_codex":[0.9993103,0.0004037888,0.00002272973,0.00005452921,0.00007067609,0.0001380518],"domain_scores_gemma":[0.9992404,0.0001655062,0.0002126636,0.00007347979,0.00008183016,0.0002262253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001290079,0.00005985433,0.0336459,0.0001484432,0.00004150201,0.003078053,0.8561205,0.00008596382,0.002304345,0.07349203,0.01596735,0.01492707],"study_design_scores_gemma":[0.00001034003,0.0001581704,0.04898977,0.0001819628,0.00003258849,0.001135899,0.7385765,0.0002949888,0.0009401069,0.008486034,0.2011121,0.00008159935],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8879458,0.0009694092,0.000696705,0.01234989,0.0002756814,0.00001355611,0.00008194912,0.00002916259,0.09763781],"genre_scores_gemma":[0.9928513,0.0002341217,0.0001150551,0.0006720417,0.00003895978,0.000005232194,0.00002444958,0.00001551372,0.006043475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007280719,"threshold_uncertainty_score":0.01447666,"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."}}