{"id":"W4378804315","doi":"10.35516/hum.v50i2.4934","title":"Bearing Witness: Gender, Fundamentalism, and the Construction of History in Margaret Atwood’s Handmaid’s Tale and Azar Nafisi’s Reading Lolita in Tehran","year":2023,"lang":"en","type":"article","venue":"Dirasat Human and Social Sciences","topic":"Utopian, Dystopian, and Speculative Fiction","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Testimonial; Patriarchy; Dystopia; Fundamentalism; Depiction; Oppression; Sociology; Narrative; Literature; Gender studies; Witness; Politics; Art; Law; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002164539,0.0005029313,0.0002902416,0.001628485,0.01498641,0.005496993,0.001094883,0.001874925,0.004114872],"category_scores_gemma":[0.004409956,0.0002116653,0.0001898964,0.001049183,0.03365186,0.003376259,0.003339533,0.003926056,0.0002164731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01264413,"about_ca_system_score_gemma":0.005489467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06298888,"about_ca_topic_score_gemma":0.1212854,"domain_scores_codex":[0.9986994,0.0006485927,0.0000144334,0.0001079695,0.0002753345,0.0002541971],"domain_scores_gemma":[0.9983485,0.001090349,0.0001689856,0.00007379719,0.0001555673,0.0001628367],"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":[0.00003355802,0.00001666469,0.0009334282,0.0000548171,0.00000534785,0.0006466417,0.69065,0.000081024,0.0003924693,0.2821334,0.01257187,0.0124808],"study_design_scores_gemma":[0.00001652138,0.00005521108,0.004085874,0.0002913233,0.00001413623,0.0005080802,0.5727832,0.0001526658,0.0006601051,0.03411697,0.3872909,0.00002502354],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.356373,0.00878993,0.002823807,0.0509054,0.001696479,0.00006640247,0.00008112696,0.00006942996,0.5791943],"genre_scores_gemma":[0.9815217,0.0006583804,0.0002464605,0.0007602929,0.0001221465,0.000009842374,0.00001248596,0.00001622017,0.01665252],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06298888,"threshold_uncertainty_score":0.1252445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08562460727594011,"score_gpt":0.2764062736241383,"score_spread":0.1907816663481982,"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."}}