{"id":"W4392817663","doi":"10.3983/twc.2024.2505","title":"Analyzing an archive of allyish distributed mentorship in \"Speak\" fan fiction comments and reviews","year":2024,"lang":"en","type":"article","venue":"Transformative Works and Cultures","topic":"Comics and Graphic Narratives","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Mentorship; Fandom; Visual arts; Art; Art history; History; Literature","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":[],"consensus_categories":[],"category_scores_codex":[0.0002030751,0.0001151263,0.000200595,0.00008191678,0.0001384516,0.0001948822,0.00004384452,0.00002595516,0.0000823924],"category_scores_gemma":[0.000003530268,0.00007805215,0.00004684254,0.00005185981,0.0001485426,0.0004059979,0.000007878442,0.0001515263,4.488211e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007732568,"about_ca_system_score_gemma":0.000004008447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001299186,"about_ca_topic_score_gemma":0.002483349,"domain_scores_codex":[0.9993848,0.00008206519,0.000250593,0.0001208508,0.0000561486,0.0001055373],"domain_scores_gemma":[0.9998185,0.00003477414,0.00003886575,0.00004698871,0.00001889216,0.00004199112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009062966,0.0001124046,0.001438575,0.0004371552,0.0001324925,0.000002508848,0.7868409,0.000007498012,0.0003319452,0.1723004,0.00438822,0.03391722],"study_design_scores_gemma":[0.002047602,0.0007953868,0.02443469,0.005143682,0.0002455592,0.000007498943,0.1931573,0.003919919,0.0004690771,0.04667617,0.7221543,0.0009487738],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9472355,0.03374611,0.00226282,0.001191776,0.0002167845,0.0007926846,0.0006292593,0.00005861676,0.0138664],"genre_scores_gemma":[0.9947623,0.004885525,0.00002258383,0.0000400074,0.00004062928,0.00001551798,0.0001594568,0.000004557212,0.00006939716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.717766,"threshold_uncertainty_score":0.3182874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02607236592210522,"score_gpt":0.2750260408942006,"score_spread":0.2489536749720954,"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."}}