{"id":"W3189909206","doi":"10.1386/stic_00036_1","title":"‘Who were you crying for?’: Empathy, fantasy and the framing of the perpetrator in Nina Bunjevac’s Bezimena","year":2020,"lang":"en","type":"article","venue":"Studies in Comics","topic":"Gender, Feminism, and Media","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mythology; Narrative; Psychoanalysis; Depiction; Shit; Psychology; Fantasy; Sociology; Gender studies; Social psychology; Art; Literature; Art history","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":[],"consensus_categories":[],"category_scores_codex":[0.0008603093,0.00008380339,0.0002506031,0.00002157538,0.0002798883,0.00001379988,0.0002415091,0.00005112057,0.000001688224],"category_scores_gemma":[0.001048884,0.00005334523,0.00004831106,0.00018695,0.0007828634,0.00003348173,0.0001793402,0.0001539678,2.847267e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003974742,"about_ca_system_score_gemma":0.000079415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002740297,"about_ca_topic_score_gemma":0.003068343,"domain_scores_codex":[0.9991425,0.0001374621,0.0002001329,0.0001473139,0.0001604112,0.0002121983],"domain_scores_gemma":[0.999207,0.00053688,0.00008563581,0.0001056469,0.00003110265,0.00003372377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004178418,0.00001558594,0.05133424,0.00007830652,0.00003600496,0.000001269784,0.9306025,0.000005898569,0.00002547263,0.01464925,0.002101966,0.001107728],"study_design_scores_gemma":[0.001446863,0.00003561831,0.004697843,0.00009437152,0.00002567338,3.096851e-7,0.9796034,0.0001526203,0.000097731,0.004903468,0.008824246,0.000117928],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9750077,0.005293975,0.00003357925,0.00642404,0.0006569618,0.0006227344,0.00001749058,0.0000188218,0.01192467],"genre_scores_gemma":[0.9961549,0.002786857,0.0002123815,0.0005713519,0.0001318235,0.00002402388,2.85021e-7,0.000009867768,0.000108509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04900083,"threshold_uncertainty_score":0.2884493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0856735884188624,"score_gpt":0.3600583130633519,"score_spread":0.2743847246444895,"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."}}