{"id":"W4244012183","doi":"10.32920/ryerson.14663826","title":"Rated M for misogyny: reimagining gender assessments for film","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Gender Politics and Representation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Centre for Social Innovation; University of Alberta","funders":"","keywords":"Mainstream; Gender balance; Representation (politics); Test (biology); Politics; Psychology; Film industry; Balance (ability); Work (physics); Sociology; Gender studies; Political science; Art; Engineering; Visual arts; Law","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":[0.02121211,0.0005400662,0.0005426593,0.006116317,0.002093992,0.002688366,0.001016217,0.0007952849,0.01018216],"category_scores_gemma":[0.1184185,0.0003666507,0.0007125407,0.002673259,0.001676463,0.003353166,0.00368974,0.001275484,0.002212435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001272822,"about_ca_system_score_gemma":0.001363218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00349882,"about_ca_topic_score_gemma":0.008920143,"domain_scores_codex":[0.9838116,0.00655255,0.002445236,0.0009155533,0.005664481,0.0006105301],"domain_scores_gemma":[0.9266343,0.0307144,0.009348392,0.007819148,0.02372012,0.001763584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001524319,0.0003742454,0.2605018,0.001552752,0.0001742533,0.0007665619,0.06973261,0.0004442013,0.0154998,0.0218324,0.04518732,0.5824096],"study_design_scores_gemma":[0.0001452549,0.001328207,0.6819163,0.001547426,0.0002037935,0.001307934,0.07926899,0.005222166,0.01887785,0.02587681,0.1839741,0.0003311269],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7567677,0.001492688,0.0623437,0.002609684,0.001885597,0.003590437,0.005349567,0.0009378387,0.1650227],"genre_scores_gemma":[0.8919827,0.0007449336,0.0893462,0.0005942199,0.0003107103,0.00322448,0.001722777,0.0004909616,0.01158303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02121211,"threshold_uncertainty_score":0.1121817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2097655077415576,"score_gpt":0.4800478153828915,"score_spread":0.2702823076413339,"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."}}