{"id":"W4253508388","doi":"10.32920/ryerson.14638167.v1","title":"Inclusive Design, Audio Description, and Diversity of Theatre Experiences","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Subtitles and Audiovisual Media","field":"Arts and Humanities","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Victoria Park","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Narrative; Presentation (obstetrics); Diversity (politics); Process (computing); Aesthetics; Inclusion (mineral); Sociology; Psychology; Multimedia; Pedagogy; Public relations; Computer science; Political science; Art; Social psychology; Literature","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001016547,0.0001417821,0.0002659641,0.00005310776,0.0002972833,0.000135651,0.0001576064,0.00007503746,0.005182902],"category_scores_gemma":[0.0000200252,0.0001098051,0.00007612842,0.00001360035,0.0003258556,0.0001036957,0.001854458,0.0001306058,0.000004855869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002018601,"about_ca_system_score_gemma":0.00006600083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001330921,"about_ca_topic_score_gemma":0.0008228307,"domain_scores_codex":[0.9992558,0.00005458803,0.0001613443,0.0002409794,0.0001780704,0.0001092173],"domain_scores_gemma":[0.9994767,0.00006268054,0.0001050034,0.0001566641,0.0001508094,0.00004811678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002204209,0.0001054899,0.0009844255,0.0001999387,0.0001319813,0.00001617971,0.9814134,0.00001244861,0.0001046898,0.007625409,0.005328545,0.004055414],"study_design_scores_gemma":[0.0003356685,0.0001941134,0.0006472021,0.0003969804,0.0001512696,0.000003837991,0.9738614,0.000157074,0.003559907,0.007135453,0.01299995,0.0005571448],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9625739,0.001729143,0.0008427214,0.0001559396,0.001176115,0.0002007954,0.00001746978,0.00003856177,0.03326535],"genre_scores_gemma":[0.9966311,0.0002821893,0.0004614691,0.0001004812,0.0002828945,0.00001629075,0.00001337178,0.000007189568,0.002205007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0340572,"threshold_uncertainty_score":0.9957265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07409208419182618,"score_gpt":0.2530424050812283,"score_spread":0.1789503208894021,"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."}}