{"id":"W3123012104","doi":"","title":"Trust, Reciprocity, and Guanxi in China: An Experimental Investigation","year":2012,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Social Capital and Networks","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Toronto Metropolitan University","funders":"","keywords":"Guanxi; Reciprocity (cultural anthropology); Social psychology; Psychology; Interpersonal communication; Social distance; Affect (linguistics); Social trust; Population; China; Salient; Cognition; Sociology; Political science; Social capital; Demography","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":[0.003855778,0.0001940179,0.0003383756,0.0002499567,0.0003592085,0.0002011729,0.0004335173,0.0006463568,0.00011912],"category_scores_gemma":[0.0003123077,0.0002269088,0.00006231613,0.0001651278,0.0009822589,0.0003580122,0.0006800691,0.001322994,0.000004615396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001220635,"about_ca_system_score_gemma":0.0004757544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004722989,"about_ca_topic_score_gemma":0.010525,"domain_scores_codex":[0.9970998,0.0008335925,0.0003821961,0.0006097988,0.0002944779,0.0007801584],"domain_scores_gemma":[0.9989664,0.0002130174,0.0001171631,0.0003073185,0.0000384875,0.0003576148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001900574,0.0005085373,0.278186,0.0001095483,0.00004324329,0.00002096802,0.2817799,0.0004414358,0.0002882842,0.01750921,0.0001451688,0.4207776],"study_design_scores_gemma":[0.002910469,0.0005030066,0.6062269,0.0007748351,0.00002465651,0.000006953829,0.2024466,0.005673917,0.0009312495,0.1401391,0.03735108,0.003011251],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9148251,0.0008057319,1.226329e-7,0.0003839559,0.0004370398,0.0006195541,0.000008377629,0.00003182074,0.08288827],"genre_scores_gemma":[0.9900363,0.007855885,0.000178924,0.00006107336,0.0009413928,0.000195253,0.00003995074,0.00002963213,0.0006615968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4177664,"threshold_uncertainty_score":0.9253074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05976518303723343,"score_gpt":0.3677822796114216,"score_spread":0.3080170965741881,"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."}}