{"id":"W4232541174","doi":"10.32920/ryerson.14656824","title":"How We Remember 1947","year":2021,"lang":"en","type":"preprint","venue":"","topic":"South Asian Studies and Conflicts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Depiction; Contextualization; Partition (number theory); Ideology; Narrative; Nationalism; Sociology; Situated; Relation (database); Gender studies; Perspective (graphical); Identity (music); Media studies; Epistemology; Aesthetics; Political science; Literature; Politics; Linguistics; Art; Philosophy; Law","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002270579,0.0001445383,0.0002472648,0.00002803868,0.0003486061,0.0006129615,0.0003627188,0.0002611874,0.001118106],"category_scores_gemma":[0.0001582143,0.0001321457,0.0001778001,0.0001281078,0.0001419922,0.00004674103,0.0008007671,0.0002892724,0.00005134914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006249792,"about_ca_system_score_gemma":0.0002433442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002409074,"about_ca_topic_score_gemma":0.007895629,"domain_scores_codex":[0.998675,0.00006891153,0.0001102118,0.0004273939,0.0003912187,0.000327225],"domain_scores_gemma":[0.999238,0.00003622437,0.00007496514,0.0003752814,0.0001540476,0.0001215146],"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":[0.00001316731,0.0001343627,0.008025875,0.0002734318,0.000735415,0.0002103336,0.3608128,0.000007337188,0.00001294613,0.2553601,0.2520356,0.1223786],"study_design_scores_gemma":[0.00005006051,0.000002479601,0.0002855957,0.00004672973,0.0000224575,1.740559e-7,0.1125185,0.000003210778,0.000008709044,0.00153873,0.8853391,0.0001842912],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00495715,0.002585579,0.0001666392,0.07918471,0.002020027,0.0002196857,0.00000377637,0.000158901,0.9107035],"genre_scores_gemma":[0.5347137,0.003286729,0.001018726,0.0009328378,0.001819435,0.00005633642,0.00001069931,0.00002026533,0.4581412],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6333035,"threshold_uncertainty_score":0.999795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06619729252028858,"score_gpt":0.3194828688829915,"score_spread":0.253285576362703,"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."}}