{"id":"W4313566779","doi":"10.1177/15554120221150342","title":"Background Checks: Disentangling Class, Race, and Gender in CRPG Character Creators","year":2023,"lang":"en","type":"article","venue":"Games and Culture","topic":"Digital Games and Media","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Narrative; Character (mathematics); Fantasy; Scholarship; Identity (music); Class (philosophy); Sociology; Race (biology); Aesthetics; Gender studies; Computer science; Literature; Art","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003632054,0.0003108967,0.0002318486,0.001707777,0.002070828,0.003851185,0.0006983934,0.0003208723,0.006106842],"category_scores_gemma":[0.01546162,0.0001915204,0.000173522,0.001124884,0.003377643,0.003033119,0.003001598,0.000828136,0.0003732455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001207567,"about_ca_system_score_gemma":0.0009969728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008611052,"about_ca_topic_score_gemma":0.01502946,"domain_scores_codex":[0.998055,0.000937892,0.00008432547,0.0003195585,0.0003775758,0.0002256262],"domain_scores_gemma":[0.9906584,0.00568132,0.001599637,0.0005871485,0.0008849075,0.0005886175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004687954,0.0002649794,0.287701,0.0002546899,0.00004149417,0.0004628493,0.5852354,0.0001384401,0.003595459,0.03831891,0.001977551,0.08154032],"study_design_scores_gemma":[0.00002306234,0.0002865017,0.4570132,0.0004991012,0.00007395316,0.0003610321,0.4968349,0.001501416,0.003107002,0.009167142,0.03107961,0.00005310026],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9712919,0.0001451526,0.002091472,0.0004551751,0.0000229415,0.0000424135,0.000104627,0.000012824,0.02583341],"genre_scores_gemma":[0.9975689,0.00003912068,0.0008213179,0.00006508287,0.00000623242,0.00003514609,0.00003703243,0.00001085285,0.00141636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008611052,"threshold_uncertainty_score":0.02042943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03207650599666114,"score_gpt":0.3054125116186268,"score_spread":0.2733360056219656,"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."}}