{"id":"W4391658266","doi":"10.32920/25193510.v1","title":"Subtle Curry Traits: exploring constructions of “South Asianness” in a meme-sharing group","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Gender, Feminism, and Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; York University","funders":"Strong; Ryerson University","keywords":"Curry; South asia; Gender studies; Identity (music); Narrative; Collective identity; Sociology; Construct (python library); Inclusion–exclusion principle; Colonialism; Group (periodic table); Inclusion (mineral); Media studies; Anthropology; Political science; Aesthetics; Politics; Art; Law; Literature","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003337223,0.0004753692,0.000260694,0.001757661,0.008181608,0.005325195,0.0006919427,0.0009465336,0.003194011],"category_scores_gemma":[0.005067311,0.0002783991,0.0002203989,0.0018221,0.01672775,0.006227545,0.00665896,0.001932263,0.0002218553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002729575,"about_ca_system_score_gemma":0.00234366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006238057,"about_ca_topic_score_gemma":0.0113634,"domain_scores_codex":[0.9981593,0.001175189,0.00005860739,0.0001879135,0.0002134568,0.0002053707],"domain_scores_gemma":[0.9963294,0.002423071,0.0004065063,0.0002910314,0.0001987728,0.0003512122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001293144,0.000005391077,0.001314352,0.00005351942,0.000003153552,0.0003038343,0.9835305,0.00001135695,0.001045982,0.01075198,0.000250403,0.002716635],"study_design_scores_gemma":[0.000002535875,0.00002139922,0.003031993,0.00009496955,0.000007956291,0.0002457265,0.9693452,0.00005723659,0.0007977927,0.002344202,0.02404123,0.000009703703],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9456391,0.0005390918,0.0022545,0.003095066,0.00007869284,0.00004679623,0.00006320067,0.00002301673,0.04826051],"genre_scores_gemma":[0.9954364,0.0002854698,0.0006323818,0.0001766422,0.00002016437,0.00003177875,0.00002612972,0.00002726249,0.003363861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008181608,"threshold_uncertainty_score":0.0198046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.138982076093589,"score_gpt":0.3357703470356435,"score_spread":0.1967882709420546,"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."}}