{"id":"W2883497479","doi":"10.20360/langandlit29411","title":"Power, Politics, Possibilities Thoughts Toward Creating a Black Digital Oral History Archive","year":2018,"lang":"en","type":"article","venue":"Language and Literacy","topic":"Oral History, Memory, Narrative Analysis","field":"Arts and Humanities","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Politics; Insider; Equity (law); General partnership; Power (physics); Sociology; Oral history; Representation (politics); Intersectionality; Media studies; Gender studies; Public relations; Political science; Anthropology; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.01708144,0.00042848,0.0002699243,0.003057394,0.03847514,0.03543787,0.001530569,0.003089256,0.008152123],"category_scores_gemma":[0.01262693,0.0003915292,0.0002137265,0.001863578,0.05921533,0.01225295,0.01677736,0.005528095,0.0009888799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01497108,"about_ca_system_score_gemma":0.02050166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0468202,"about_ca_topic_score_gemma":0.08996724,"domain_scores_codex":[0.9905049,0.006526154,0.0001172745,0.0004175358,0.001341226,0.001092866],"domain_scores_gemma":[0.9920769,0.003724591,0.0005148483,0.0005576689,0.0009762531,0.002149799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001952826,0.00003835657,0.001254967,0.00008242187,0.000004549526,0.0003248719,0.3858997,0.00009439744,0.0003931246,0.5754617,0.01128902,0.02513728],"study_design_scores_gemma":[0.000008052953,0.00001105883,0.0007635348,0.0003539939,0.000007130908,0.0001410033,0.5872345,0.0001986039,0.0006134972,0.06547822,0.3451719,0.00001853689],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2389219,0.005600013,0.01588535,0.1697939,0.001432709,0.0002521209,0.00005860457,0.0001340645,0.5679214],"genre_scores_gemma":[0.9220089,0.001707371,0.00530381,0.00499843,0.0002621154,0.0001657771,0.00002085464,0.0001396137,0.06539306],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0468202,"threshold_uncertainty_score":0.1086233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01811289508589752,"score_gpt":0.2532253303762819,"score_spread":0.2351124352903844,"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."}}