{"id":"W4289933455","doi":"10.1093/ser/mwac047","title":"The boundary within: Are applicants of Southern European descent discriminated against in Northern European job markets?","year":2022,"lang":"en","type":"article","venue":"Socio-Economic Review","topic":"Names, Identity, and Discrimination Research","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Agencia Estatal de Investigación; Consejo Superior de Investigaciones Científicas; Horizon 2020 Framework Programme; Ministerio de Ciencia e Innovación; Universidad Complutense de Madrid; European Commission","keywords":"Productivity; Debt; Demographic economics; European union; Sample (material); Propensity score matching; Political science; Economics; Economic growth; International trade; Medicine; Finance","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.009257941,0.0001574297,0.0003447014,0.00007283998,0.001571986,0.0001494994,0.00108531,0.00002211625,0.0004023081],"category_scores_gemma":[0.0002899783,0.0001333805,0.0002049231,0.0002378586,0.000652991,0.0001117481,0.0004244724,0.0003649516,0.0004040541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006687244,"about_ca_system_score_gemma":0.0004054164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001044422,"about_ca_topic_score_gemma":0.01060654,"domain_scores_codex":[0.9940886,0.003986646,0.0007271404,0.0003533477,0.0004348033,0.0004094353],"domain_scores_gemma":[0.9987108,0.0001520011,0.0005167514,0.0004122601,0.00008203706,0.0001262071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007393877,0.0004063751,0.5353009,0.002062227,0.0001583694,0.0001003635,0.03501531,0.00007035168,0.00002878277,0.005606561,0.02616658,0.3950102],"study_design_scores_gemma":[0.00109786,0.00005605887,0.1451585,0.001051104,0.0001022176,0.000003312353,0.1585621,0.00004344448,0.000002368718,0.002324375,0.6908921,0.0007065231],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6712819,0.05715043,0.000007598529,0.009115096,0.0005932353,0.001992542,0.0001619273,0.00008176619,0.2596155],"genre_scores_gemma":[0.9530925,0.0424621,0.000009046542,0.0006591125,0.000135977,0.00008145948,0.00002801954,0.00005023162,0.003481526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6647255,"threshold_uncertainty_score":0.9997278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03582134524326282,"score_gpt":0.3125501530345843,"score_spread":0.2767288077913215,"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."}}