{"id":"W4386362801","doi":"10.33137/ijidi.v7i1/2.39251","title":"Epistemicide Beyond Borders","year":2023,"lang":"en","type":"article","venue":"The International Journal of Information Diversity & Inclusion (IJIDI)","topic":"Library Science and Administration","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Injustice; Sociology; Scholarship; Epistemology; Oppression; Political science; Interrogation; Power (physics); Engineering ethics; Library science; Computer science; Politics; Engineering; Philosophy; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002160092,0.00006438633,0.00008253847,0.0002972629,0.002037543,0.0002280097,0.001465854,0.00005131142,0.0003449823],"category_scores_gemma":[0.0004162518,0.00004784513,0.0001081759,0.0004435712,0.0001782595,0.004816882,0.001555025,0.0001491992,0.0002615939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001647373,"about_ca_system_score_gemma":0.0003859962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004045897,"about_ca_topic_score_gemma":0.0001132144,"domain_scores_codex":[0.9976376,0.00008431584,0.0003774126,0.00004786062,0.001703839,0.0001490248],"domain_scores_gemma":[0.9985871,0.0001758046,0.000502288,0.00007954724,0.0005627594,0.00009244214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004353912,0.0001026464,0.03927014,0.00001293105,0.000211416,0.00007494911,0.3680685,0.002646809,0.0006758242,0.1464726,0.3703822,0.07164668],"study_design_scores_gemma":[0.001036295,0.0001231036,0.02031998,0.00008019008,0.00002976889,0.00003619205,0.0620296,0.0009563299,0.0009253712,0.04008652,0.8741392,0.0002374041],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8365409,0.00002303343,0.0007650534,0.109761,0.003090319,0.0001586011,0.00001887743,0.00007438592,0.0495679],"genre_scores_gemma":[0.9950713,0.0002730831,0.0001264387,0.003274682,0.0003097285,3.995991e-7,0.00002074632,0.000001750487,0.0009218843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5037571,"threshold_uncertainty_score":0.9992617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02116813554747564,"score_gpt":0.3028213424851075,"score_spread":0.2816532069376319,"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."}}