{"id":"W3197636361","doi":"10.1177/09500170211021570","title":"From Flexible Labour to ‘Sticky Labour’: A Tracking Study of Workers in the Food-Delivery Platform Economy of China","year":2021,"lang":"en","type":"article","venue":"Work Employment and Society","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":128,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"China; Capitalism; Work (physics); Gig economy; Staffing; Business; Flexibility (engineering); Labour law; Labour economics; Engineering; Political science; Economics; Management; Mechanical engineering","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":[0.001680772,0.0002707501,0.0003844528,0.002366939,0.004785851,0.001850715,0.000989889,0.0009087472,0.002076005],"category_scores_gemma":[0.001909102,0.0003710657,0.0002334513,0.003290692,0.002773148,0.001859132,0.002664619,0.001130723,0.0002829266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003783101,"about_ca_system_score_gemma":0.003764902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1640274,"about_ca_topic_score_gemma":0.270225,"domain_scores_codex":[0.9992737,0.0001222557,0.00003726932,0.0001107961,0.0001161244,0.0003397697],"domain_scores_gemma":[0.9988902,0.000265595,0.000314996,0.00008570497,0.0001529367,0.0002906599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000882897,0.0001392146,0.4273577,0.00007403373,0.00001714145,0.0006430166,0.5541494,0.00007127282,0.001474611,0.001149673,0.0005496363,0.01428606],"study_design_scores_gemma":[0.000005370399,0.0001044221,0.5950325,0.0000740825,0.00001057761,0.00009820731,0.4006874,0.0004057735,0.0002065173,0.000317084,0.003030236,0.00002781742],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994668,0.00003592251,0.00002786372,0.00008484838,0.000001339623,0.000007576769,0.00002150986,8.205948e-7,0.0003533816],"genre_scores_gemma":[0.9991183,0.00005757102,0.0000467639,0.000061896,0.000001745235,0.00001468245,0.00003116339,0.000001605633,0.000666263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1640274,"threshold_uncertainty_score":0.3261452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02731926764897267,"score_gpt":0.2690315875234993,"score_spread":0.2417123198745267,"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."}}