{"id":"W2120334263","doi":"10.1111/j.1471-0366.2009.00201.x","title":"Agricultural Land, Gender and Kinship in Rural China and Vietnam: A Comparison of Two Villages","year":2009,"lang":"en","type":"article","venue":"Journal of Agrarian Change","topic":"Vietnamese History and Culture Studies","field":"Social Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Western University","funders":"","keywords":"Kinship; Entitlement (fair division); China; Dominance (genetics); Geography; Vietnamese; Land tenure; Position (finance); Socioeconomics; Economic growth; Livelihood; Development economics; Agriculture; Political science; Sociology; Economics","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":[0.0004072744,0.00009546788,0.0003242968,0.00007962217,0.0002651777,0.00003037561,0.00009134701,0.00006001227,0.00001506738],"category_scores_gemma":[0.00006406097,0.00006252247,0.00005719558,0.0001719228,0.0001358617,0.0002713332,0.00001599677,0.0001729654,5.225712e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003671505,"about_ca_system_score_gemma":0.00001746388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001056913,"about_ca_topic_score_gemma":0.001756298,"domain_scores_codex":[0.9991397,0.0001325353,0.0002645922,0.00007289118,0.0002307061,0.0001595661],"domain_scores_gemma":[0.9994603,0.00001446286,0.0003262533,0.000035718,0.00007040221,0.00009290349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001142305,0.0002070589,0.2462515,0.00004466642,0.00006442013,0.00003212248,0.7269103,0.000002116615,0.001245604,0.005657116,0.003330946,0.01613992],"study_design_scores_gemma":[0.0007945967,0.0002327935,0.9262717,0.00008862409,0.00003474221,0.00002306446,0.0686084,0.000001844511,0.00001540607,0.001194125,0.002621686,0.0001130226],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9777486,0.01133047,0.000001871066,0.004507813,0.0001968548,0.0001185712,0.000003326599,0.000005519961,0.006086972],"genre_scores_gemma":[0.9989385,0.0004570091,0.00008421763,0.00008030039,0.0003917745,0.000001127183,7.356462e-7,0.000001747239,0.00004458949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6800202,"threshold_uncertainty_score":0.2549593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05842508475382562,"score_gpt":0.3367438993185997,"score_spread":0.278318814564774,"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."}}