{"id":"W7133976884","doi":"10.7202/1123763ar","title":"Dissonant Records: Close Listening to Literary Archives. Tanya E. Clement. Cambridge, MA: The MIT Press, 2024. 240 pp. 9780262379229, https://doi.org/10.7551/mitpress/14976.001.0001","year":2025,"lang":"en","type":"article","venue":"Archivaria","topic":"Digital and Traditional Archives Management","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Consonance and dissonance; Active listening; Literary criticism","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002407543,0.0005611249,0.0004670725,0.0002319129,0.001130987,0.001047538,0.001170122,0.00002804604,0.001999196],"category_scores_gemma":[0.00006544617,0.0004097371,0.0003490543,0.000155849,0.0005222572,0.0005429443,0.001132881,0.0005990241,0.001246138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003983628,"about_ca_system_score_gemma":0.000072427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005156941,"about_ca_topic_score_gemma":0.0000367712,"domain_scores_codex":[0.9966677,0.000209754,0.0008019605,0.0009061332,0.0005160118,0.0008984716],"domain_scores_gemma":[0.9979107,0.0006838319,0.0001893151,0.0008894333,0.00005693148,0.0002698218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002758492,0.0004339566,0.00008708425,0.0001289317,0.0003478887,0.00005585141,0.003182206,0.00001439519,0.00003068386,0.7112709,0.2490124,0.03515982],"study_design_scores_gemma":[0.0006052397,0.000172082,0.01270614,0.0003498859,0.0001425013,0.000002241733,0.000203602,0.0004058897,0.00002656717,0.1910175,0.7939492,0.0004192228],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004483562,0.0006092813,0.0002676072,0.005262095,0.001734422,0.001118715,0.0006777337,0.0002096612,0.9856369],"genre_scores_gemma":[0.3960707,0.0002305874,0.0005701662,0.003044362,0.001332422,0.0004111442,0.0006198349,0.00006307247,0.5976577],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5449367,"threshold_uncertainty_score":0.9999894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01887583126085671,"score_gpt":0.2281400662235713,"score_spread":0.2092642349627146,"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."}}