{"id":"W4249303154","doi":"10.1093/socpro/spaa029","title":"Contesting Inequality: The Impact of Immigrant Legal Status and Education on Legal Knowledge and Claims-Making in Low-Wage Labor Markets","year":2020,"lang":"en","type":"article","venue":"Social Problems","topic":"Labor Movements and Unions","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Immigration; Educational attainment; Agency (philosophy); Complaint; Government (linguistics); Demographic economics; Political science; Legal status; Wage; Politics; Sociology; Law; Economics","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":[0.000697436,0.00009866339,0.0001687399,0.00003706362,0.0004353357,0.0001151467,0.00008954477,0.00006258114,0.00001645104],"category_scores_gemma":[0.0002865989,0.00007220064,0.0000399109,0.0003802933,0.0002059076,0.0002011875,0.00004989123,0.0001840258,4.286817e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008922716,"about_ca_system_score_gemma":0.0005282304,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02821312,"about_ca_topic_score_gemma":0.008790025,"domain_scores_codex":[0.9988443,0.000324925,0.0002330173,0.0001714375,0.000160103,0.0002661981],"domain_scores_gemma":[0.9994727,0.0001719916,0.0001331791,0.00005093821,0.00009305424,0.00007812015],"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":[0.0001362483,0.0004568567,0.1178149,0.0001122591,0.00007640295,0.000002570339,0.2871054,0.00001923702,0.002915372,0.516397,0.001195334,0.07376841],"study_design_scores_gemma":[0.000689756,0.0001346991,0.9624651,0.0001812262,0.00001636624,1.424748e-7,0.0195079,0.0001531009,0.00001624719,0.003329135,0.01332226,0.0001840792],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868224,0.0004971934,0.000004076131,0.002791037,0.00008308376,0.000390449,0.00004374319,0.0000188055,0.009349231],"genre_scores_gemma":[0.9991812,0.0000793478,0.00001355826,0.0003915889,0.0002148225,0.00001450488,0.000004828011,0.000008928383,0.00009120318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8446501,"threshold_uncertainty_score":0.9782581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02979060022586824,"score_gpt":0.3459037110095511,"score_spread":0.3161131107836828,"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."}}