{"id":"W2791089117","doi":"10.3138/topia.38.123","title":"Transnational Kinship, Diasporic Mourning and Belonging in the Canadian Animation World: The Moving Images of Leslie Supnet’s <i>gains + losses</i>","year":2017,"lang":"en","type":"article","venue":"TOPIA Canadian Journal of Cultural Studies","topic":"Asian Culture and Media Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Queer; Kinship; Aunt; Cousin; Animation; Normative; Sociology; Construct (python library); Gender studies; History; Aesthetics; Art; Visual arts; Anthropology; Law; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001138277,0.0001139328,0.0002348281,0.0001552472,0.003260117,0.0002138402,0.0004197785,0.00004036076,0.00001260726],"category_scores_gemma":[0.0007973074,0.00006253878,0.00007053643,0.0001849535,0.0008134424,0.0004767144,0.0000131609,0.0002732464,3.347041e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002681798,"about_ca_system_score_gemma":0.0007122279,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2426163,"about_ca_topic_score_gemma":0.9959733,"domain_scores_codex":[0.9988257,0.0001378743,0.0002902648,0.00008778573,0.0003214488,0.0003368764],"domain_scores_gemma":[0.9988745,0.0001955236,0.0003032751,0.00008932086,0.0003508127,0.000186594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00001098844,0.000009963768,0.1265938,0.00004069804,0.0002844802,0.0001480014,0.6639253,0.00007050339,0.0000406656,0.1847287,0.01049378,0.01365309],"study_design_scores_gemma":[0.0003193096,0.00003644551,0.6361973,0.0001086702,0.00008637517,0.00002255881,0.2592628,0.00000290047,0.00002832866,0.00223245,0.101541,0.0001618828],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6477133,0.01401206,0.000003694453,0.3093998,0.0006620931,0.00032578,0.00002522885,0.000004489022,0.0278536],"genre_scores_gemma":[0.9979084,0.0006827617,0.00006564413,0.0003698145,0.0003480705,0.00000453662,0.000001027932,0.000003969051,0.0006158439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.753357,"threshold_uncertainty_score":0.9980375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06722860374241697,"score_gpt":0.3477047594782244,"score_spread":0.2804761557358074,"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."}}