{"id":"W4294636406","doi":"10.5267/j.uscm.2022.6.009","title":"The effect of board nationality and educational diversity on CSR performance: Empirical evidence from Australian companies","year":2022,"lang":"en","type":"article","venue":"Uncertain Supply Chain Management","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Endogeneity; Nationality; Corporate social responsibility; Diversity (politics); Instrumental variable; Panel data; Business; Gender diversity; Demographic economics; Sample (material); Econometrics; Economics; Corporate governance; Political science; Immigration; Public relations; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008211389,0.0001627301,0.0001718857,0.00009000866,0.001140376,0.00008732042,0.0004467158,0.00001975621,0.0003244081],"category_scores_gemma":[0.00005420777,0.0001285909,0.00006156552,0.0003569593,0.0001234938,0.0003171185,0.0009079154,0.0001518864,0.00002639696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001338011,"about_ca_system_score_gemma":0.00001538371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001926485,"about_ca_topic_score_gemma":0.000126132,"domain_scores_codex":[0.99849,0.00005945948,0.000218424,0.0003233511,0.0007001948,0.0002085751],"domain_scores_gemma":[0.9989921,0.0004207597,0.0002534767,0.0002694336,0.00005256284,0.00001160579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003558805,0.00004909224,0.9495233,0.0001612974,0.00005028012,0.000004332577,0.0001057454,0.004807964,0.000004310316,0.004606888,0.03672358,0.003607372],"study_design_scores_gemma":[0.0005214032,0.00008322883,0.9355623,0.00007434974,0.00005063713,2.318787e-7,0.0002326006,0.002772509,0.00001152026,0.001443545,0.05909901,0.0001486331],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985887,0.0001194092,0.00001628037,0.01208258,0.0003449688,0.000440638,0.00003641164,0.00002170912,0.001051028],"genre_scores_gemma":[0.9970626,0.00008294499,0.00003675272,0.0008019849,0.0002183034,0.00009966062,0.00005775731,0.000008085405,0.001631865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02237543,"threshold_uncertainty_score":0.8770964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03746523914812903,"score_gpt":0.2616280982563483,"score_spread":0.2241628591082193,"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."}}