{"id":"W4414124633","doi":"10.1080/03066150.2025.2549906","title":"The politics of paper landscapes: making sense of ‘bad’ numbers in the global land rush","year":2025,"lang":"en","type":"article","venue":"The Journal of Peasant Studies","topic":"Agriculture, Land Use, Rural Development","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Indiana University Bloomington","keywords":"Politics; Land grabbing; Land use; Land reform; Global South","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009334087,0.0001031095,0.0002448645,0.000006848054,0.0002671098,0.00001617688,0.0003327365,0.00003090351,0.000005712718],"category_scores_gemma":[0.0001716827,0.00001886985,0.00009492695,0.0003122474,0.0001171738,0.00004189083,0.0001089809,0.0001281977,7.321036e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003571773,"about_ca_system_score_gemma":0.00001676578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009984765,"about_ca_topic_score_gemma":0.001548635,"domain_scores_codex":[0.9988266,0.0002183949,0.0004243395,0.0000543272,0.0002978591,0.0001785154],"domain_scores_gemma":[0.9986022,0.0008468959,0.0003051667,0.00004755682,0.0001830933,0.00001508128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007427733,0.0003780407,0.8796573,0.0001297423,0.001547478,0.00005406544,0.01801229,0.0002021955,0.001451575,0.03718006,0.04700284,0.01364163],"study_design_scores_gemma":[0.0002429086,0.0001144247,0.9416581,0.0002536272,0.00009339633,0.00005665456,0.03015375,0.000003328115,0.0001266383,0.0165162,0.0107062,0.00007471933],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987455,0.005462369,6.512302e-7,0.005524312,0.0001533396,0.00009577695,0.00001240508,0.000002658032,0.001293534],"genre_scores_gemma":[0.9968259,0.002612124,0.00001528705,0.0003115534,0.0001107647,0.000001162734,5.799913e-7,3.030121e-7,0.0001223138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06200085,"threshold_uncertainty_score":0.205442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01885555166270663,"score_gpt":0.2773720258001993,"score_spread":0.2585164741374926,"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."}}