{"id":"W3206554053","doi":"10.5465/ambpp.2021.13353symposium","title":"Minorities & Networks: How stereotypes influence network utilization, position and evaluations","year":2021,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Social Capital and Networks","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Social identity theory; Identity (music); Social network (sociolinguistics); Position (finance); Social psychology; Psychology; Sociology; Network theory; Social group; Political science; Mathematics; Economics; Law","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":[0.000632899,0.0001058223,0.0001471485,0.00004909498,0.0005292126,0.0001959708,0.0001535383,0.0001395861,0.00004952653],"category_scores_gemma":[0.00008734014,0.0001190533,0.0000400366,0.0006223354,0.0002601868,0.0006428539,0.0001272848,0.0001261942,0.000003225546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003771178,"about_ca_system_score_gemma":0.00001786258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001937396,"about_ca_topic_score_gemma":0.00002413658,"domain_scores_codex":[0.9988301,0.00004434509,0.0001872417,0.0002473062,0.0004004888,0.0002904488],"domain_scores_gemma":[0.9994819,0.00005903348,0.0001439506,0.00003363548,0.0002075973,0.00007394021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002814271,0.00005701985,0.02202339,0.0002152606,0.0001576946,0.000001113496,0.01444112,0.0004458602,0.00004810469,0.8702484,0.04993686,0.04239704],"study_design_scores_gemma":[0.001078194,0.00008474802,0.2969436,0.0009686634,0.0006532495,0.000005006952,0.05216286,0.0009655945,0.0001818186,0.1873722,0.4586119,0.0009722136],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9032592,0.0119187,0.001286433,0.027409,0.0003282268,0.0009432253,0.000004242001,0.0002229351,0.05462803],"genre_scores_gemma":[0.9861619,0.006409673,0.001154377,0.0009215199,0.0005311663,0.00003765551,0.000009326309,0.00001024069,0.004764144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6828762,"threshold_uncertainty_score":0.4854853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04716036319887222,"score_gpt":0.3300874188244844,"score_spread":0.2829270556256122,"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."}}