{"id":"W2172175421","doi":"10.7202/011721ar","title":"The Impact of Macroeconomic Conditions on the Instability and Long-Run Inequality of Workers’ Earnings in Canada","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Queen's University","funders":"","keywords":"Economics; Earnings; Inequality; Unemployment; Labour economics; Short run; Earnings growth; Demographic economics; Variance (accounting); Monetary economics; Macroeconomics; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.0005454661,0.0001819277,0.000318904,0.001395316,0.002186232,0.00188269,0.0006148891,0.0003472415,0.001576364],"category_scores_gemma":[0.002619165,0.0001652546,0.0003382354,0.0031108,0.0008983235,0.0003986632,0.001050563,0.0008041456,0.0001528381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02259464,"about_ca_system_score_gemma":0.01608202,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9911095,"about_ca_topic_score_gemma":0.9945067,"domain_scores_codex":[0.9993864,0.000028008,0.0000223286,0.00006844552,0.0001933245,0.0003014333],"domain_scores_gemma":[0.9978144,0.000234979,0.0005632867,0.00007456965,0.0008526179,0.0004600053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001330206,0.00002196625,0.9870754,0.00001688677,0.00007613122,0.0001684619,0.001238409,0.001299131,0.0003017386,0.0007293791,0.001091576,0.007847742],"study_design_scores_gemma":[0.000001535258,0.000003572067,0.9984315,0.000007689507,0.000007144826,0.00001048802,0.0004876832,0.0004573914,0.00004672365,0.00004107425,0.0004986632,0.000006588886],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956161,0.0004804812,0.00005979038,0.0004552825,0.000004785008,0.000003897287,0.001555551,0.00000538648,0.001818784],"genre_scores_gemma":[0.9986091,0.000193356,0.00002934385,0.00002123514,0.000003474022,0.000001175228,0.000763615,0.000001937568,0.0003767228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02259464,"threshold_uncertainty_score":0.1639363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02465359235601711,"score_gpt":0.2396315489899243,"score_spread":0.2149779566339071,"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."}}