{"id":"W4221013583","doi":"10.3366/cfs.2022.0060","title":"Born Queer, Made Evil? Examining ‘Discovery’ and ‘Construction’ as Competing Methodologies of True Crime","year":2022,"lang":"en","type":"article","venue":"Crime Fiction Studies","topic":"Crime and Detective Fiction Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of Toronto","funders":"","keywords":"Deviance (statistics); Queer; Ideology; Sociology; Representation (politics); Epistemology; Criminology; Aesthetics; History; Law; Computer science; Politics; Philosophy; Political science; Gender studies","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0006717749,0.0002754938,0.000614696,0.0003095894,0.002377238,0.0001158913,0.0001140438,0.00003353638,0.0005565254],"category_scores_gemma":[0.0004723071,0.0002546744,0.0001244492,0.0001332661,0.0009089049,0.00041975,0.0004983987,0.0002933365,0.00001373266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001014625,"about_ca_system_score_gemma":0.00003356436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003134382,"about_ca_topic_score_gemma":0.0000187364,"domain_scores_codex":[0.9980385,0.000354923,0.0005488343,0.000449863,0.0003345717,0.0002733181],"domain_scores_gemma":[0.99826,0.0008026138,0.0003343175,0.0002241004,0.0003440412,0.00003489697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0009282506,0.0002694181,0.007820918,0.0006987032,0.003847275,0.00002484675,0.3613347,0.0002256237,0.01004005,0.543937,0.04264829,0.02822497],"study_design_scores_gemma":[0.0006732044,0.0006790953,0.009082489,0.00005589959,0.0002966046,0.00006674659,0.7460245,0.00001345481,0.003962894,0.005068171,0.2336526,0.0004242849],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8374416,0.02380192,0.0005663287,0.0003761988,0.004800635,0.0004724527,0.0001883058,0.0004888983,0.1318637],"genre_scores_gemma":[0.990611,0.00094986,0.0009658065,0.0001713305,0.000477243,0.0001546808,0.000008135865,0.00003040879,0.006631531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5388688,"threshold_uncertainty_score":0.9999905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2292743352457149,"score_gpt":0.3595207523894303,"score_spread":0.1302464171437153,"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."}}