{"id":"W3197254746","doi":"10.1177/24557471211021507","title":"Land as an Intermittent Commodity: Ethnographic Insights from India’s Urban–Agrarian Frontiers","year":2021,"lang":"en","type":"article","venue":"Urbanisation","topic":"Water Governance and Infrastructure","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Commodification; Economics; Land grabbing; Agrarian society; Expropriation; Urbanization; Caste; Industrialisation; Political economy; Economic system; Market economy; Sociology; Geography; Political science; Economic growth; Agriculture; Law","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":[0.00198085,0.0004940496,0.000517766,0.002287002,0.008980814,0.006595133,0.001383888,0.001224381,0.002497639],"category_scores_gemma":[0.002836298,0.0006495542,0.0002267677,0.004404598,0.01570535,0.005413823,0.007138709,0.002600354,0.0002094379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003766662,"about_ca_system_score_gemma":0.002138654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03411152,"about_ca_topic_score_gemma":0.08933058,"domain_scores_codex":[0.9972064,0.001925237,0.00006575635,0.000163954,0.0001478937,0.0004908149],"domain_scores_gemma":[0.9961395,0.00321722,0.0002138474,0.0001104307,0.00009014383,0.0002289311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000005843051,0.0000070088,0.001237131,0.0000238213,0.000001283031,0.0003569981,0.9955841,0.00001750055,0.0002221,0.001381838,0.0001304094,0.001032011],"study_design_scores_gemma":[4.186608e-7,0.000005055003,0.001104441,0.00002672562,0.000001319731,0.00009802365,0.9955223,0.00002456907,0.00005204875,0.0001667308,0.00299494,0.000003435571],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882696,0.0004758822,0.0005566602,0.001096428,0.00001734396,0.00002626261,0.00007703229,0.000008091301,0.009472686],"genre_scores_gemma":[0.9973428,0.0006287725,0.0002480867,0.0001757568,0.00001158768,0.00002597905,0.00003560403,0.0000133106,0.001518284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03411152,"threshold_uncertainty_score":0.06782597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01478621017812924,"score_gpt":0.2521328910316901,"score_spread":0.2373466808535609,"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."}}