{"id":"W2946118091","doi":"10.1007/s10745-019-0072-9","title":"Historical Ecologies of Pastoralist Overgrazing in Kenya: Long-Term Perspectives on Cause and Effect","year":2019,"lang":"en","type":"article","venue":"Human Ecology","topic":"Rangeland Management and Livestock Ecology","field":"Environmental Science","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Styrelsen för Internationellt Utvecklingssamarbete; Arts and Humanities Research Council; Ministry of Education, Culture, Sports, Science and Technology; U.S. Geological Survey; National Commission for Science, Technology and Innovation; European Commission; British Institute in Eastern Africa; Vetenskapsrådet; FP7 People: Marie-Curie Actions; H2020 Marie Skłodowska-Curie Actions; Canadian Centre for Applied Research in Cancer Control; British Academy; Svenska Forskningsrådet Formas","keywords":"Overgrazing; Pastoralism; Rangeland; Geography; Politics; Context (archaeology); Environmental resource management; Ecology; Environmental ethics; Natural resource economics; Livestock; Political science; Economics; Grazing; Archaeology","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":[0.001187745,0.0001779766,0.0002076359,0.00127898,0.002449793,0.001787357,0.0005483914,0.0006949778,0.004085083],"category_scores_gemma":[0.002183347,0.0002379777,0.00007597544,0.002315436,0.006251977,0.00216511,0.001410179,0.000815002,0.0001008256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003583624,"about_ca_system_score_gemma":0.0012793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03910249,"about_ca_topic_score_gemma":0.1524857,"domain_scores_codex":[0.9996405,0.00012455,0.00002038934,0.00006441077,0.00003286052,0.0001172534],"domain_scores_gemma":[0.998623,0.0005266866,0.000564626,0.00005913931,0.0001188425,0.0001076882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003327045,0.0001963341,0.5317136,0.002113234,0.0001690369,0.006889584,0.2366976,0.002155921,0.005477612,0.08207341,0.003636407,0.1285446],"study_design_scores_gemma":[0.000004374713,0.00007323253,0.8758721,0.0007815991,0.00004399685,0.001215011,0.08578844,0.0004463721,0.0005764202,0.004994327,0.03015663,0.00004756423],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9707916,0.01435915,0.0004133506,0.002471643,0.00002020714,0.00001531966,0.0001769347,0.000004024901,0.01174771],"genre_scores_gemma":[0.9948314,0.004367336,0.0001238631,0.00008312348,0.00000767878,0.000004411942,0.00002915878,0.000002079815,0.0005509608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03910249,"threshold_uncertainty_score":0.07774979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01000916912392161,"score_gpt":0.2423346538516953,"score_spread":0.2323254847277737,"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."}}