{"id":"W4251837085","doi":"10.4324/9781003218906-1","title":"Beyond land grabs: new insights on land struggles and global agrarian change","year":2021,"lang":"en","type":"book-chapter","venue":"","topic":"Agriculture, Land Use, Rural Development","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Agrarian society; Geography; Economic geography; Political science; Agriculture; Archaeology","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":[0.000446997,0.000494731,0.0003227142,0.001221335,0.001688839,0.004545816,0.000578659,0.001297962,0.007341767],"category_scores_gemma":[0.0004058577,0.0001215076,0.0001859786,0.002821503,0.009935682,0.005938564,0.002112477,0.001821278,0.000589538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00388173,"about_ca_system_score_gemma":0.001582182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005725503,"about_ca_topic_score_gemma":0.01851682,"domain_scores_codex":[0.9998255,0.00006942093,0.000003953782,0.00002156789,0.00004515773,0.00003436745],"domain_scores_gemma":[0.9997738,0.0001633313,0.00001266346,0.00001517999,0.00001444407,0.00002065299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000008849019,0.00001141707,0.0003964073,0.0001890764,0.000002713258,0.0003256472,0.02848966,0.000331842,0.0001768314,0.9134731,0.02193936,0.03465515],"study_design_scores_gemma":[0.000003679653,0.00001301344,0.001982946,0.0003618419,0.000003995574,0.0002753232,0.02248505,0.0004000969,0.0001589718,0.2263233,0.7479827,0.000009052864],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.031462,0.09716602,0.002111693,0.02745051,0.001045163,0.00002084707,0.00007639297,0.00005268715,0.8406147],"genre_scores_gemma":[0.5181559,0.1164152,0.002541225,0.009267936,0.002398971,0.0000829919,0.0002117505,0.0001342828,0.3507917],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007341767,"threshold_uncertainty_score":0.02816409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03099854710497892,"score_gpt":0.2020344078292037,"score_spread":0.1710358607242248,"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."}}