{"id":"W3128914880","doi":"","title":"It’s Who You Know That Counts: Board Connectedness and CSR Performance","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Social connectedness; Business; Corporate social responsibility; Market capitalization; Resource dependence theory; Agency cost; Accounting; Capitalization; Marketing; Industrial organization; Corporate governance; Stock market; Finance; Microeconomics; Public relations; Shareholder; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002695169,0.000250763,0.0003037778,0.001564556,0.0009650835,0.002469882,0.0004543623,0.0008066014,0.007529614],"category_scores_gemma":[0.01666932,0.0001207052,0.0002572371,0.001619206,0.001534119,0.002330527,0.001799895,0.001233787,0.001148323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007776012,"about_ca_system_score_gemma":0.0006098403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004578604,"about_ca_topic_score_gemma":0.0064383,"domain_scores_codex":[0.997929,0.0008629772,0.000129341,0.0003074497,0.0004154334,0.0003558887],"domain_scores_gemma":[0.9505433,0.01340964,0.02501358,0.001626931,0.002831252,0.006575134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001847075,0.00062553,0.9564251,0.00006876254,0.0001973185,0.00007830837,0.004363565,0.0004579383,0.0007460396,0.001530658,0.002161763,0.0331604],"study_design_scores_gemma":[0.00001663763,0.0003540589,0.9783003,0.00009486415,0.0001064823,0.00009810169,0.01230001,0.001257326,0.0006764706,0.003010477,0.003743379,0.00004186682],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880182,0.0002385384,0.0006668101,0.00133406,0.00003733407,0.00002194874,0.0001873904,0.00001462743,0.00948126],"genre_scores_gemma":[0.9982849,0.0001043228,0.0002372458,0.0001237668,0.00003188434,0.00001210694,0.0001270921,0.000003977468,0.001074637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007529614,"threshold_uncertainty_score":0.0251891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01447722188047124,"score_gpt":0.1958436603014357,"score_spread":0.1813664384209645,"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."}}