{"id":"W4281728639","doi":"10.1177/10778004221097677","title":"Through a Glass Brightly: Generative Ethical Tensions in Research-Based Theatre","year":2022,"lang":"en","type":"article","venue":"Qualitative Inquiry","topic":"Participatory Visual Research Methods","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Sociology; The arts; Generative grammar; Pedagogy; Set (abstract data type); Qualitative research; Engineering ethics; Visual arts; Social science; Linguistics; Art; Computer science; Philosophy","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":["metaresearch","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch","sts"],"category_scores_codex":[0.05053029,0.0001673091,0.0003569985,0.0003718972,0.002692579,0.00008752044,0.0006613269,0.0002124568,0.001366243],"category_scores_gemma":[0.01112438,0.0001587285,0.0001180087,0.002586382,0.006245222,0.0002453309,0.0003791877,0.003037502,0.0001185078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001230643,"about_ca_system_score_gemma":0.002479751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004827292,"about_ca_topic_score_gemma":0.002760608,"domain_scores_codex":[0.9005439,0.09430629,0.0004569054,0.0006217972,0.002885285,0.001185843],"domain_scores_gemma":[0.9828742,0.01592278,0.00009150072,0.0003504431,0.0005027296,0.0002583227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000148306,0.0002606558,0.0001816717,0.000008260427,0.00001690022,0.00007861131,0.641998,0.0001614794,0.001468275,0.342957,0.01207381,0.0006470202],"study_design_scores_gemma":[0.0006743147,0.0004815617,0.0004580991,0.00003301639,0.000004928087,4.556644e-7,0.6255742,0.0006975907,0.0009633062,0.2252773,0.1455736,0.0002616912],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8245317,0.0005333894,0.009544565,0.1246459,0.0009529032,0.001931397,0.0001357901,0.0002143405,0.03751004],"genre_scores_gemma":[0.9868676,0.00001474412,0.007746474,0.003256244,0.0002912671,0.0009496611,0.00001346275,0.00002989278,0.000830655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1623359,"threshold_uncertainty_score":0.9995466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9387596868903839,"score_gpt":0.7775809310323362,"score_spread":0.1611787558580478,"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."}}