{"id":"W4379538151","doi":"10.15173/glj.v14i2.5098","title":"Precarious Work and the Gendered Individualisation of Risk in the South African Manufacturing Sector, 2002–2017","year":2023,"lang":"en","type":"article","venue":"Global Labour Journal","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Restructuring; Informal sector; Precarious work; Unemployment; Economic restructuring; Politics; Precarity; Labour economics; Earnings; Economics; Job security; Sociology; Work (physics); Political economy; Political science; Gender studies; Economy; Economic growth","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001402138,0.0001896443,0.0001738912,0.0009519201,0.003779455,0.002456197,0.0002959478,0.0005691433,0.003984671],"category_scores_gemma":[0.00326507,0.0001660413,0.0001389008,0.001438211,0.003622083,0.001907667,0.002877075,0.001239432,0.0002188534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003509021,"about_ca_system_score_gemma":0.002407055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03676482,"about_ca_topic_score_gemma":0.05854305,"domain_scores_codex":[0.999375,0.0002016037,0.00002707629,0.00005591345,0.0001055737,0.000234827],"domain_scores_gemma":[0.9991003,0.0003405883,0.0002704892,0.0000293687,0.00008662602,0.0001726941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001015494,0.00004277744,0.09536768,0.0002036918,0.000009795511,0.0005422045,0.8322819,0.00009764196,0.0006414956,0.02676776,0.002348815,0.04159467],"study_design_scores_gemma":[0.000004657481,0.00005985634,0.3108133,0.0005430176,0.000007091835,0.000416865,0.6392003,0.0001029646,0.0002370728,0.003819401,0.04478,0.00001555599],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800645,0.004009719,0.0001443083,0.005191214,0.00008011557,0.0000157153,0.00008484629,0.000001675154,0.01040791],"genre_scores_gemma":[0.9962384,0.001620542,0.00002876366,0.000126561,0.00002237562,0.000009219801,0.00001844132,0.000001583532,0.001934251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03676482,"threshold_uncertainty_score":0.0731017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06038801227188869,"score_gpt":0.3493441143536542,"score_spread":0.2889561020817655,"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."}}