{"id":"W7154789200","doi":"10.5281/zenodo.19619561","title":"Decolonizing Digital Preservation and Access: Case Studies from a Canadian University Archives and Library","year":2025,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Digital and Traditional Archives Management","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Indigenous; Commission; Constructive; Declaration; Digital preservation; Action (physics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.007145313,0.0006436185,0.0006089415,0.003834528,0.04702772,0.009711127,0.004652897,0.005119579,0.007057544],"category_scores_gemma":[0.0172471,0.0004570673,0.0006473847,0.01018829,0.01731043,0.004104224,0.009835714,0.004098368,0.0005168151],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07210568,"about_ca_system_score_gemma":0.064749,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9024719,"about_ca_topic_score_gemma":0.9668266,"domain_scores_codex":[0.9897948,0.003261095,0.0002667638,0.0005084421,0.002434329,0.003734568],"domain_scores_gemma":[0.9889292,0.005046256,0.0007099375,0.0008091369,0.002369771,0.002135683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001940647,0.0009332809,0.02438116,0.0004840777,0.00005375138,0.01345162,0.8115398,0.001457506,0.0009677885,0.05549623,0.0155932,0.07544755],"study_design_scores_gemma":[0.00003293904,0.0001270935,0.01281026,0.0003793557,0.00004024994,0.001462785,0.8812272,0.000511714,0.0007408269,0.002277604,0.1003347,0.00005532193],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9013729,0.002201202,0.001255157,0.007524331,0.00007591651,0.0004263978,0.0001995759,0.00005279285,0.08689167],"genre_scores_gemma":[0.9737242,0.002032967,0.001636257,0.001185036,0.00002436398,0.0001221107,0.00007537916,0.00004032456,0.02115933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9902889,"threshold_uncertainty_score":0.5231657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04549093769372273,"score_gpt":0.2196392241006736,"score_spread":0.1741482864069508,"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."}}