{"id":"W2585288324","doi":"10.1111/area.12329","title":"On absence and abundance: biography as method in archival research","year":2017,"lang":"en","type":"article","venue":"Area","topic":"Data Analysis and Archiving","field":"Social Sciences","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Arts and Humanities Research Council; University of Cambridge; McGill University","keywords":"Scholarship; Biography; Sociology; Scope (computer science); Space (punctuation); Epistemology; History; Political science; Law; Art history; Computer science; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1263413,0.001124504,0.001552837,0.01021916,0.01364914,0.0295672,0.00368749,0.003930183,0.005228859],"category_scores_gemma":[0.1800274,0.001159351,0.0007173988,0.01029996,0.1550987,0.05306457,0.02635074,0.009250621,0.000709735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008503773,"about_ca_system_score_gemma":0.008357237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003979963,"about_ca_topic_score_gemma":0.004877489,"domain_scores_codex":[0.7994631,0.1829581,0.004050672,0.00413349,0.008193897,0.001200758],"domain_scores_gemma":[0.6656548,0.2917881,0.008460611,0.02703476,0.005347187,0.001714593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003760129,0.00001878187,0.0009903087,0.0003366983,0.00001588111,0.00009162362,0.2283934,0.0001584357,0.0001502817,0.7467648,0.001447317,0.02159476],"study_design_scores_gemma":[0.00003979298,0.00009542764,0.0008981751,0.002323534,0.00003378189,0.0005231647,0.1133866,0.0008630864,0.0007146781,0.751949,0.1291083,0.00006439198],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06598657,0.03278253,0.5528091,0.09181925,0.002735854,0.000884852,0.0002579972,0.0004054742,0.2523184],"genre_scores_gemma":[0.8523653,0.01150229,0.1124222,0.005760652,0.001623762,0.002254136,0.00009865323,0.0005325708,0.01344054],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1263413,"threshold_uncertainty_score":0.6681648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1171033245906123,"score_gpt":0.4936917397908397,"score_spread":0.3765884152002273,"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."}}