{"id":"W2746956136","doi":"10.7202/1040827ar","title":"War and Predatory Economy in Northern-Kenya: How Ethnomusicology Can Explore Social Change","year":2017,"lang":"fr","type":"article","venue":"Cahiers d histoire","topic":"Rangeland Management and Livestock Ecology","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Ethnology; Political science; Alliance; Sociology; Philosophy; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002396866,0.0003701697,0.0002757301,0.001844451,0.009220101,0.006092761,0.0009283061,0.001737477,0.008133471],"category_scores_gemma":[0.002571597,0.0002487748,0.0001817226,0.002072431,0.01711996,0.006574762,0.004631043,0.001362102,0.0002661516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00707931,"about_ca_system_score_gemma":0.003892406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05185952,"about_ca_topic_score_gemma":0.1874775,"domain_scores_codex":[0.9987418,0.0008665036,0.00001377465,0.00009703945,0.00004229454,0.0002385733],"domain_scores_gemma":[0.998786,0.0008343325,0.0001488045,0.00005709131,0.00004991232,0.0001238604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001045173,0.00007819384,0.02788129,0.0002500397,0.00002910776,0.001604481,0.7393685,0.0003031864,0.0008596767,0.1922492,0.00230772,0.03496407],"study_design_scores_gemma":[0.00001721963,0.00005336426,0.0348197,0.0005214367,0.00002950089,0.0003312238,0.8217004,0.0004562701,0.0003928893,0.04539098,0.09625578,0.0000312492],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7362852,0.01325021,0.002688998,0.01800329,0.0001362941,0.00006989745,0.0001177232,0.00001640364,0.2294321],"genre_scores_gemma":[0.9910402,0.002799568,0.0005889302,0.000379314,0.00001440248,0.00003156884,0.00001741666,0.000008535305,0.005120097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05185952,"threshold_uncertainty_score":0.1031153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03001110826561401,"score_gpt":0.2200433390852678,"score_spread":0.1900322308196538,"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."}}