{"id":"W2143663865","doi":"10.1177/09500170122119138","title":"The Vertical Dimension of Occupational Segregation","year":2001,"lang":"en","type":"article","venue":"Work Employment and Society","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Inequality; Disadvantage; Dimension (graph theory); Social stratification; Demographic economics; Occupational segregation; Argument (complex analysis); Stratification (seeds); Horizontal and vertical; Social inequality; Sociology; Labour economics; Economics; Political science; Mathematics; Social science; Geometry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001517933,0.0001992718,0.0002625686,0.00253083,0.001392115,0.00197745,0.0003628563,0.0002588617,0.003631992],"category_scores_gemma":[0.006379616,0.0001373698,0.0002272855,0.002947223,0.002903936,0.001570302,0.003923599,0.0005555464,0.0001915944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00128191,"about_ca_system_score_gemma":0.0009838861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009817003,"about_ca_topic_score_gemma":0.01352587,"domain_scores_codex":[0.9961227,0.001309901,0.0002926843,0.0003745671,0.001573671,0.0003265142],"domain_scores_gemma":[0.9955553,0.001342318,0.001685975,0.0004521379,0.0006839144,0.0002802753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001623881,0.00006219117,0.5455987,0.0003766806,0.000122213,0.0001753772,0.02865445,0.001033611,0.002987453,0.2635871,0.003152375,0.1540875],"study_design_scores_gemma":[0.00001675684,0.0002397269,0.8118073,0.0005469598,0.00009257222,0.0005078368,0.03050139,0.002391601,0.001466005,0.09633749,0.05603256,0.00005985588],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8064934,0.001937576,0.05135443,0.002778912,0.000135761,0.0001226842,0.001286668,0.00006239643,0.1358281],"genre_scores_gemma":[0.9951162,0.0003276743,0.00306113,0.00009227927,0.00003713338,0.00004283142,0.0001708132,0.000007745489,0.001144197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009817003,"threshold_uncertainty_score":0.01951975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04220425004455691,"score_gpt":0.3177548258929245,"score_spread":0.2755505758483676,"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."}}