{"id":"W608004395","doi":"10.5860/choice.52-0509","title":"Whispering truth to power: everyday resistance to reconciliation in postgenocide Rwanda","year":2014,"lang":"en","type":"article","venue":"Choice Reviews Online","topic":"Cambodian History and Society","field":"Social Sciences","cited_by":115,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Resistance (ecology); Power (physics); Physics; Biology","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":[0.008317218,0.0009233649,0.0009854505,0.001811068,0.02802658,0.01170068,0.001851145,0.005161976,0.002436622],"category_scores_gemma":[0.01816862,0.0009701313,0.000491237,0.001523471,0.03378857,0.00878629,0.008949591,0.008674521,0.0005906263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003731656,"about_ca_system_score_gemma":0.002345473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00527502,"about_ca_topic_score_gemma":0.007684181,"domain_scores_codex":[0.979709,0.01655817,0.0002638112,0.0004791067,0.001148313,0.001841649],"domain_scores_gemma":[0.9903584,0.007036992,0.001089425,0.0004144738,0.0005047805,0.0005958459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000006881215,0.00000905126,0.0003639236,0.00002327194,0.000003446892,0.0003325257,0.9926605,0.000007380762,0.0002291343,0.003163771,0.001211001,0.001989009],"study_design_scores_gemma":[0.000001988799,0.00002847963,0.0007509168,0.00009620414,0.00000359459,0.0003540174,0.9585086,0.00002213985,0.0001326696,0.001032643,0.03905562,0.00001315251],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9039934,0.007007096,0.002347446,0.0283225,0.001213633,0.00007597243,0.00003491389,0.0001012448,0.05690376],"genre_scores_gemma":[0.9828707,0.002506984,0.0007185268,0.002895257,0.0002170835,0.00008344409,0.00002113761,0.00008989991,0.01059686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02802658,"threshold_uncertainty_score":0.0439862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03604686244691541,"score_gpt":0.3379506788711918,"score_spread":0.3019038164242764,"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."}}