{"id":"W2474053216","doi":"10.1177/0486613416635053","title":"Precarious Work in Recession and Growth: A New Structural Feature of Labor Markets in Argentina? <sup>1</sup>","year":2016,"lang":"en","type":"article","venue":"Review of Radical Political Economics","topic":"Economic Theory and Policy","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Latin Americans; Argument (complex analysis); Economics; Recession; Great recession; Neoliberalism (international relations); Work (physics); Development economics; Political economy; Labour economics; Keynesian economics; Political science; 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":[0.001034795,0.0001370336,0.0002716395,0.0009075016,0.001447507,0.002648004,0.0004745955,0.001136474,0.009837108],"category_scores_gemma":[0.002773263,0.0001533862,0.0001335022,0.002052797,0.002474342,0.002160763,0.001117769,0.001095662,0.0008460158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002246938,"about_ca_system_score_gemma":0.001393131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02617798,"about_ca_topic_score_gemma":0.04267783,"domain_scores_codex":[0.9995962,0.0001302916,0.0000182693,0.00007039317,0.00005870939,0.0001261522],"domain_scores_gemma":[0.9984401,0.0003470441,0.000757693,0.00006731343,0.0001515068,0.0002363256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007632486,0.0002667861,0.3668537,0.0006548527,0.00006262318,0.00150227,0.03597422,0.001568888,0.001667852,0.26517,0.1338906,0.1916249],"study_design_scores_gemma":[0.00005690353,0.00006987002,0.7859117,0.0007924174,0.00002468437,0.0004129398,0.02300544,0.002086674,0.0001931839,0.05502269,0.1323837,0.00003980467],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7461492,0.03006017,0.001538603,0.1035454,0.0004517458,0.0000510281,0.001743949,0.00006415414,0.1163958],"genre_scores_gemma":[0.9828979,0.008957946,0.0002965629,0.001045261,0.0005298812,0.00003590149,0.0005639663,0.00003135502,0.005641248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02617798,"threshold_uncertainty_score":0.05205119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01380529411546546,"score_gpt":0.2415397856762591,"score_spread":0.2277344915607936,"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."}}