{"id":"W1981978090","doi":"10.1111/j.1467-8330.2008.00639.x","title":"Cutting Through Topologies: Crossing Lines at the School of the Americas","year":2008,"lang":"en","type":"article","venue":"Antipode","topic":"Historical and Contemporary Political Dynamics","field":"Arts and Humanities","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Commercializations Promotion Agency for R and D Outcomes","keywords":"Latin Americans; Torture; Space (punctuation); Train; Law; Sociology; Resistance (ecology); Front (military); Human rights; Political science; History; Engineering; Computer science; Archaeology; Mechanical engineering","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":[0.003887129,0.0004227873,0.0003045163,0.001754599,0.03158514,0.01434462,0.0008968582,0.002731914,0.009611244],"category_scores_gemma":[0.005328057,0.000339256,0.000223625,0.001825186,0.03150167,0.00951843,0.008353183,0.006086689,0.000964867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00654815,"about_ca_system_score_gemma":0.002405479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0069386,"about_ca_topic_score_gemma":0.01595777,"domain_scores_codex":[0.994382,0.003909738,0.00006416471,0.0003616985,0.0005019968,0.0007804266],"domain_scores_gemma":[0.9971321,0.001188943,0.000397094,0.00021005,0.0002812498,0.000790586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001743862,0.00003318594,0.001335989,0.00002109803,0.000003831081,0.0003893151,0.5862702,0.0000766309,0.0001323432,0.3894074,0.01371372,0.008598804],"study_design_scores_gemma":[0.000008588295,0.00003141947,0.001256181,0.0001330611,0.000005463099,0.0002892371,0.4825168,0.0001505967,0.0001928078,0.05610666,0.4592928,0.00001638693],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3602048,0.003464544,0.004042704,0.05156333,0.0009319591,0.00003513529,0.00004985395,0.0001117229,0.5795959],"genre_scores_gemma":[0.985002,0.0004668031,0.0003258372,0.001472655,0.0001013298,0.00001303507,0.00001067562,0.00005240363,0.01255528],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03158514,"threshold_uncertainty_score":0.04751039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07485026508648451,"score_gpt":0.2698529386190306,"score_spread":0.1950026735325461,"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."}}