{"id":"W2941555846","doi":"10.1386/ac.30.1.109_1","title":"Asghar Farhadi’s nuanced feminism: Gender and marriage in Farhadi’s films from Dancing in the Dust to A Separation","year":2019,"lang":"en","type":"article","venue":"Asian Cinema","topic":"Turkey's Politics and Society","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Foregrounding; Movie theater; Femininity; Gender studies; Feminism; Masculinity; Film theory; Feminist theory; Sociology; Art; Literature","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009880343,0.0004237387,0.0001322466,0.0006799601,0.005473898,0.002424121,0.0002737506,0.0007252835,0.001976895],"category_scores_gemma":[0.001259479,0.0001394025,0.0001810488,0.0005015865,0.004397594,0.00157513,0.001274752,0.001673696,0.0001648586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001677347,"about_ca_system_score_gemma":0.0007470805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005832693,"about_ca_topic_score_gemma":0.01557998,"domain_scores_codex":[0.9995894,0.000228651,0.000007733834,0.00003410519,0.00007418376,0.00006593436],"domain_scores_gemma":[0.9996008,0.0002019191,0.00005127857,0.00001907287,0.00006762998,0.00005921793],"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":[0.00008380309,0.00003877494,0.005200179,0.0001565225,0.00001701393,0.001491205,0.9191279,0.00007157368,0.004146911,0.03608309,0.01010799,0.0234751],"study_design_scores_gemma":[0.00001135201,0.00007505272,0.02522276,0.0002584856,0.0000214366,0.001982952,0.6767878,0.0001426986,0.002143137,0.003474367,0.2898526,0.00002737804],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7989575,0.006458851,0.001555516,0.01309522,0.00098957,0.00003791406,0.00007379873,0.00002703674,0.1788045],"genre_scores_gemma":[0.9909363,0.001046541,0.0003255991,0.000676639,0.0001557853,0.00000785568,0.00001362138,0.00001218323,0.006825417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005832693,"threshold_uncertainty_score":0.01217008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02054289140726767,"score_gpt":0.3211727029443825,"score_spread":0.3006298115371149,"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."}}