{"id":"W2765527540","doi":"10.5465/ambpp.2017.11544abstract","title":"Like Attracts Like? Revisiting Demographic Homophily in Entrepreneurship","year":2017,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Entrepreneurship Studies and Influences","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Homophily; Workforce; Homogeneity (statistics); Entrepreneurship; Start up; High tech; Demographic economics; Personnel selection; Marketing; Psychology; Business; Labour economics; Social psychology; Economics; Management; Political science; Economic growth; Computer science; Business administration","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":[0.00350952,0.0001248449,0.0004200245,0.001847189,0.001458334,0.002028309,0.000396366,0.0005271396,0.004324255],"category_scores_gemma":[0.0133586,0.0001699915,0.0002443886,0.001696058,0.001483728,0.001848595,0.001516478,0.0008346734,0.0003549278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004881788,"about_ca_system_score_gemma":0.0002902189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005897469,"about_ca_topic_score_gemma":0.008839714,"domain_scores_codex":[0.9983694,0.0009421918,0.00006752972,0.0002669243,0.0001763727,0.0001776929],"domain_scores_gemma":[0.9817865,0.01159512,0.003276092,0.001156499,0.0008778136,0.001307892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006637589,0.0001113261,0.9650566,0.00004614693,0.0001101571,0.0001689257,0.01091257,0.0001756718,0.0002344446,0.005132931,0.001290219,0.0166946],"study_design_scores_gemma":[0.000009203663,0.00004826506,0.9760735,0.00006058676,0.00005784322,0.0001371634,0.01438909,0.001661566,0.0001203633,0.004292848,0.003130405,0.00001924809],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946384,0.0003368237,0.0005567949,0.0007607386,0.00001560442,0.000008479527,0.0001585388,0.000003486532,0.003521034],"genre_scores_gemma":[0.9994047,0.0001049189,0.00009320166,0.00009254411,0.00002235458,0.00000720266,0.00008192467,0.000002079219,0.0001911289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005897469,"threshold_uncertainty_score":0.01856035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0330924148840917,"score_gpt":0.2638601440163595,"score_spread":0.2307677291322678,"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."}}