{"id":"W2767376577","doi":"10.1080/08263663.2017.1378381","title":"Land, justice, and memory: challenges for peace in Colombia","year":2017,"lang":"fr","type":"article","venue":"Canadian Journal of Latin American and Caribbean Studies / Revue canadienne des études latino-américaines et caraïbes","topic":"Conflict, Peace, and Violence in Colombia","field":"Social Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of British Columbia; McGill University","funders":"","keywords":"Impunity; Armed conflict; Economic Justice; Government (linguistics); Context (archaeology); State (computer science); Transitional justice; Political science; Sociology; Development economics; Criminology; Inequality; Political economy; Law; Economic growth; Politics; Economics; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0005562407,0.0008725421,0.0005396334,0.002050761,0.00600421,0.0126614,0.0007089343,0.001736067,0.006653065],"category_scores_gemma":[0.002562991,0.000160267,0.000242493,0.001870876,0.004022729,0.003908848,0.002076052,0.002676209,0.0005528521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006899851,"about_ca_system_score_gemma":0.003470273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02826524,"about_ca_topic_score_gemma":0.0724625,"domain_scores_codex":[0.9993066,0.0002804052,0.00004479671,0.00006775936,0.0001663778,0.0001340855],"domain_scores_gemma":[0.998801,0.0006522232,0.0001271455,0.00003421079,0.0002115151,0.0001738813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001275748,0.00004779937,0.003598159,0.003072721,0.0000419988,0.0014075,0.05465614,0.0005155327,0.0006163337,0.3261764,0.4038161,0.2059237],"study_design_scores_gemma":[0.000003516176,0.000009880515,0.003529573,0.001020939,0.00001178115,0.000245659,0.0223936,0.00006716406,0.0001473927,0.007912992,0.9646322,0.00002527707],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01424617,0.575896,0.0009139759,0.1413339,0.02624376,0.00004719941,0.0002188338,0.00009834998,0.2410017],"genre_scores_gemma":[0.381624,0.4832841,0.001898819,0.01661509,0.04006462,0.0001360376,0.0003095483,0.000153131,0.07591471],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02826524,"threshold_uncertainty_score":0.05620146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.108507886958401,"score_gpt":0.3380449427771454,"score_spread":0.2295370558187443,"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."}}