{"id":"W4246089492","doi":"10.7202/1074566ar","title":"From Faceless to In-Your-Face Bosses: Work in Neo-Feudal America. Coerced: Work under Threat of Punishment. By Erin Hatton (2020) Oakland: University of California Press, 281 pages. ISBN: 978-0-520-30539-7. Bite Back: People Taking on Corporate Food and Winning. Edited by Saru Jayaraman and Kathryn De Master (2020) Oakland: University of California Press, 312 pages. ISBN: 978-0-520-28936-9. Hustle and Gig: Struggling and Surviving in the Sharing Economy. By Alexandra J. Ravenelle (2019) Oakland: University of California Press, 273 pages. ISBN: 978-0-520-30056-9. Uberland: How Algorithms Are Rewriting the Rules of Work. By Alex Rosenblat (2018) Oakland: University of California Press, 271 pages. ISBN: 978-0-520-29857-6. Bandage, Sort and Hustle: Ambulance Crews on the Front Line of Human Suffering. By Josh Seim (2020) Oakland: University of California Press, 249 pages. ISBN: 978-0-520-30023-1.","year":2020,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Feudalism; Face (sociological concept); Media studies; Sociology; Political science; Law; Social science; Politics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001496646,0.0009613124,0.001990383,0.0002360563,0.000958998,0.000206142,0.001250589,0.0009697968,0.0001601637],"category_scores_gemma":[0.0001577641,0.000946429,0.0002446035,0.0009988981,0.001926967,0.001000644,0.0008604499,0.001445443,0.000002963621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003065091,"about_ca_system_score_gemma":0.0003167645,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03293349,"about_ca_topic_score_gemma":0.007372161,"domain_scores_codex":[0.9944255,0.001048847,0.001268649,0.001400227,0.0008452018,0.001011592],"domain_scores_gemma":[0.9943933,0.00134078,0.002611232,0.0008532589,0.0003321392,0.0004692915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.006260948,0.001871587,0.6859595,0.001690681,0.002037141,0.0001393434,0.05522488,0.02509432,0.001365419,0.0001343483,0.210732,0.009489879],"study_design_scores_gemma":[0.03359587,0.002706578,0.1363633,0.01007144,0.003373806,0.00003201432,0.2537078,0.03561418,0.005894795,0.0004674695,0.5120612,0.006111499],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9544997,0.009245304,0.002509292,0.003392391,0.00007506309,0.002320624,0.0271274,0.00006893642,0.0007613262],"genre_scores_gemma":[0.9783994,0.01873901,0.0003418485,0.00005417428,0.00007048893,0.000003345449,0.001640557,0.00007383479,0.0006773598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5495961,"threshold_uncertainty_score":0.9992986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03387423659403369,"score_gpt":0.2120784125208489,"score_spread":0.1782041759268152,"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."}}