{"id":"W4409735895","doi":"10.1145/3706598.3714084","title":"Digital Archives, Knowledge Conflicts, and Epistemic Injustices in the Himalayas","year":2025,"lang":"en","type":"article","venue":"","topic":"Southeast Asian Sociopolitical Studies","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Digital Archives; Epistemology; Data science; World Wide Web; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007920375,0.0001232645,0.0001740058,0.001563749,0.005656737,0.004362115,0.0004131867,0.0005045519,0.002845134],"category_scores_gemma":[0.002728321,0.0001897295,0.00009744954,0.002742107,0.004465305,0.002147749,0.002331984,0.001013078,0.00015138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002975083,"about_ca_system_score_gemma":0.002918146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05062192,"about_ca_topic_score_gemma":0.06507622,"domain_scores_codex":[0.9993753,0.0002437241,0.000049943,0.00004464591,0.0001126609,0.0001737595],"domain_scores_gemma":[0.9973065,0.001272037,0.0007439276,0.0001590499,0.0002409796,0.0002775428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001771552,0.0001933162,0.2709422,0.0001268926,0.00005399451,0.00416158,0.6479225,0.0002779,0.0007710896,0.04974998,0.0008318365,0.02479159],"study_design_scores_gemma":[0.00001154084,0.0000538048,0.1946403,0.0001156414,0.00003925515,0.001165294,0.7881786,0.0004740915,0.0005669405,0.005450259,0.009282788,0.00002138505],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935433,0.0002001219,0.00002969663,0.0003973678,0.000002746535,0.00000237871,0.000009479735,0.000001363786,0.00581357],"genre_scores_gemma":[0.9995809,0.00008426132,0.00001246472,0.00001646549,0.000001296661,8.446688e-7,0.000003253522,3.006995e-7,0.0003001061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05062192,"threshold_uncertainty_score":0.1006545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01838767825079744,"score_gpt":0.342541615310037,"score_spread":0.3241539370592395,"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."}}