{"id":"W2033638760","doi":"10.1080/14754830902717734","title":"Technologies of Telling: Discourse, Transparency, and Erasure in Guatemalan Truth Commission Testimony","year":2009,"lang":"en","type":"article","venue":"Journal of Human Rights","topic":"Global Security and Public Health","field":"Social Sciences","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commission; Transparency (behavior); State (computer science); State of exception; Sociology; Power (physics); Context (archaeology); Erasure; Law; Representation (politics); Epistemology; Political science; Politics; History; Philosophy; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01767602,0.0005998225,0.0004334494,0.004651003,0.01507639,0.01608986,0.001563249,0.004904652,0.002949899],"category_scores_gemma":[0.03595417,0.0004701672,0.0002938098,0.003804572,0.0625553,0.01269348,0.009660946,0.003882429,0.0002733482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01106753,"about_ca_system_score_gemma":0.00474295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01359584,"about_ca_topic_score_gemma":0.009628717,"domain_scores_codex":[0.9787582,0.0180377,0.0004486715,0.0005705124,0.001320699,0.0008643154],"domain_scores_gemma":[0.9572846,0.03480075,0.003010437,0.00255721,0.001755145,0.0005919829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002351256,0.000006590359,0.0005859237,0.0001182303,0.000004797319,0.0005664509,0.7448472,0.000141133,0.0004433991,0.244201,0.0009779724,0.008083882],"study_design_scores_gemma":[0.00001258929,0.0000504752,0.001982409,0.001038018,0.00002741236,0.001229298,0.6914635,0.001104464,0.002362848,0.1090147,0.1916507,0.00006354404],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4944275,0.01605767,0.0531225,0.1409488,0.0008704591,0.000317896,0.0002496961,0.0002936282,0.2937118],"genre_scores_gemma":[0.9942629,0.0009522982,0.001841195,0.0009309278,0.00006896916,0.00005841881,0.00001518954,0.0000253429,0.001844857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01767602,"threshold_uncertainty_score":0.09348089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0327717221796118,"score_gpt":0.3650321356677401,"score_spread":0.3322604134881283,"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."}}