{"id":"W3194837830","doi":"10.1016/j.geoforum.2021.07.031","title":"A feminist political ecology of wildlife crime: The gendered dimensions of a poaching economy and its impacts in Southern Africa","year":2021,"lang":"en","type":"article","venue":"Geoforum","topic":"Wildlife Conservation and Criminology Analyses","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"H2020 European Research Council; European Research Council; Social Sciences and Humanities Research Council of Canada","keywords":"Poaching; Political ecology; Sociology; Wildlife; Politics; Masculinity; Context (archaeology); Vulnerability (computing); Criminology; Gender studies; Political science; Ecology; Geography; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002869818,0.00007337574,0.0001659202,0.00003143067,0.0001242412,0.000005673402,0.0001002684,0.00006816816,0.00042591],"category_scores_gemma":[0.0001876239,0.00005155833,0.00004121221,0.0001136587,0.0002516448,0.00003952567,0.000329811,0.0001021446,0.00003008874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002558848,"about_ca_system_score_gemma":0.00005464287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000244894,"about_ca_topic_score_gemma":0.0004432403,"domain_scores_codex":[0.9989806,0.0001075707,0.0002334764,0.0001601228,0.00006034167,0.0004578454],"domain_scores_gemma":[0.999507,0.0001804527,0.00007671616,0.0001562359,0.000009822246,0.00006976644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002747696,0.0001813585,0.9509904,0.00002173439,0.00005123406,0.00001741046,0.003866358,0.00009407873,0.004495705,0.03820832,0.001869559,0.0001764081],"study_design_scores_gemma":[0.0008523851,0.000110561,0.9503196,0.00002620184,0.00009224201,0.00008576336,0.02793368,0.001704421,0.002730015,0.009653036,0.006278058,0.0002140486],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804271,0.0001270914,0.00001490197,0.007019766,0.00002055003,0.00006736066,0.00001457183,0.000005421376,0.01230326],"genre_scores_gemma":[0.9969281,0.000007558403,0.00007675731,0.002661535,0.00000539435,0.000004670291,0.000002724254,0.000004315224,0.0003089712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02855528,"threshold_uncertainty_score":0.4663416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03815482082507676,"score_gpt":0.2646870125412112,"score_spread":0.2265321917161345,"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."}}