{"id":"W7000703498","doi":"","title":"Four interviews with South Asian diasporic writers: “I ground myself in multiple spaces”: Sehba Sarwar in Conversation with Maryam Mirza”, “Reading, Writing and the Contours of Power: Mridula Koshy Speaks to Maryam Mirza”, “Remapping Canada: An Interview with Mariam Pirbhai”, and “Genres, Languages, Voices: Rukhsana Ahmad in Conversation with Maryam Mirza”","year":2021,"lang":"en","type":"other","venue":"Durham Research Online (Durham University)","topic":"Postcolonial and Cultural Literary Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"South asia; Conversation; Reflexive pronoun; Diaspora; Identity (music)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009353143,0.0007488132,0.001316071,0.001564542,0.0002799491,0.0002914863,0.0005593322,0.000203386,0.0003042193],"category_scores_gemma":[0.00007007472,0.0005119662,0.00007304344,0.001062451,0.001085699,0.0006765047,0.0003911473,0.001037671,0.000001289451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006595513,"about_ca_system_score_gemma":0.0005741606,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3803502,"about_ca_topic_score_gemma":0.9703624,"domain_scores_codex":[0.9953831,0.001156736,0.0006085766,0.001094343,0.0008640694,0.000893152],"domain_scores_gemma":[0.997959,0.0003457229,0.0005111471,0.0005032129,0.000392225,0.0002887044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.01818668,0.001577071,0.1214701,0.008078346,0.002867809,0.01172186,0.8094837,0.00007611606,0.00007280697,0.004995679,0.007462802,0.01400703],"study_design_scores_gemma":[0.01276133,0.001962555,0.05826884,0.01218708,0.000202453,0.00008400218,0.7998455,0.0002925886,0.000005623184,0.00001429279,0.1130707,0.001305097],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9476798,0.00725436,0.00002744197,0.006371968,0.0001503692,0.004958907,0.001110114,0.0001037265,0.03234331],"genre_scores_gemma":[0.9602313,0.001396969,0.0006717707,0.0004260757,0.0002516086,0.00004700635,0.00116063,0.0002188683,0.03559576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5900123,"threshold_uncertainty_score":0.9997332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04666861971523153,"score_gpt":0.2486535698621176,"score_spread":0.201984950146886,"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."}}