{"id":"W4392132428","doi":"10.1016/j.exis.2024.101441","title":"Securitization of the mining sector? The role of the armed forces in state interventions in Tanzania","year":2024,"lang":"en","type":"article","venue":"The Extractive Industries and Society","topic":"Mining and Resource Management","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada","keywords":"Tanzania; State (computer science); Securitization; Government (linguistics); Psychological intervention; Business; Economic growth; Development economics; Political science; Economics; Finance; Socioeconomics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003486456,0.00006537134,0.00008020354,0.00001493489,0.00008103054,0.00002707144,0.0001410977,0.00004634009,0.00001279175],"category_scores_gemma":[0.00002501536,0.00002951779,0.00008467257,0.0003246957,0.0001428327,0.00004119748,0.00007304505,0.0002982324,1.021172e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003089181,"about_ca_system_score_gemma":0.00001490858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001077898,"about_ca_topic_score_gemma":0.00009927515,"domain_scores_codex":[0.9995069,0.00006692411,0.0001716498,0.00006457811,0.00009654075,0.0000934008],"domain_scores_gemma":[0.9996393,0.000182885,0.00004436957,0.0001147589,0.00001223655,0.000006410464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003058588,0.0001464535,0.04002733,0.0008887915,0.0008446985,0.000002007928,0.7026762,0.163027,0.006248959,0.01121242,0.007606112,0.06728947],"study_design_scores_gemma":[0.0006147216,0.00006024392,0.2858106,0.002908418,0.0001456515,0.000005021855,0.4626717,0.2012815,0.01691326,0.003125702,0.02617841,0.0002847386],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952812,0.00160113,0.00009320727,0.0004331538,0.0001154512,0.0001887516,0.00001533825,0.00001167754,0.002260109],"genre_scores_gemma":[0.9994935,0.0001494635,0.000005706166,0.0000120305,0.00002283284,0.00001456689,8.462443e-7,0.000007772356,0.0002932847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2457833,"threshold_uncertainty_score":0.1295688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0137315013594921,"score_gpt":0.2264012072967644,"score_spread":0.2126697059372723,"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."}}