{"id":"W2139876488","doi":"10.2139/ssrn.658422","title":"The Layoff Rat Race","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Layoff; Race (biology); Business; Economics; Sociology; Gender studies; Unemployment","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":[0.001855191,0.0003194161,0.0004514178,0.0008441829,0.005180853,0.005326543,0.0005409734,0.003308933,0.06838939],"category_scores_gemma":[0.004999703,0.0002095629,0.0004149495,0.0005142821,0.003474968,0.004154971,0.003819881,0.006660244,0.01140387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001023854,"about_ca_system_score_gemma":0.001717813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006129924,"about_ca_topic_score_gemma":0.01179877,"domain_scores_codex":[0.9990139,0.0001998975,0.00002294808,0.0001652199,0.0001663005,0.0004317684],"domain_scores_gemma":[0.9978854,0.000373756,0.0002199901,0.0002413311,0.0002502967,0.001029212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002556716,0.0001353642,0.007720393,0.00004278437,0.00002494089,0.0004251471,0.004044974,0.00009853097,0.0007040305,0.5444534,0.3704168,0.07167803],"study_design_scores_gemma":[0.00004791734,0.0001666987,0.01440036,0.0002411179,0.00001463064,0.0004158766,0.006904548,0.0003758779,0.0004921489,0.1186486,0.8582457,0.00004653286],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1054436,0.003917155,0.002721513,0.2639297,0.0104847,0.00004756586,0.0006525345,0.0002147988,0.6125884],"genre_scores_gemma":[0.5520355,0.002051624,0.0005253255,0.07716084,0.004127339,0.0000679127,0.000259304,0.0002079077,0.3635643],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06838939,"threshold_uncertainty_score":0.2287853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009710200724595832,"score_gpt":0.2142838791106837,"score_spread":0.2045736783860879,"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."}}