Drawing on a unique survey of US workers with information about their employers' policies on pay discussions and whether workers engage in such talk with their coworkers, we provide the most comprehensive investigation into pay talk in workplaces to date. Unlike existing treatments, we focus on core organizational and relational factors that influence whether workers talk about pay. We theorize pay talk as a challenge to managerial discretion, and we hypothesize that organizational attributes related to pay-setting influence workers' willingness to discuss wages and salaries with colleagues. Managers, in turn, combat such challenges to their discretion by instituting pay secrecy rules. Particular relational factors within organizations are related to workers' violations of these rules. Findings indicate that the likelihood of pay discussions varies by workplace pay secrecy rules, managerial relations within organizations, and, in certain model specifications, sector and career turning points. Among status characteristics, only age is associated with discussing pay, with younger workers significantly more likely to talk about pay and to violate organizational rules meant to suppress pay discussions.
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http://dx.doi.org/10.1093/sf/soae130 | DOI Listing |
Soc Forces
March 2025
National Women's Law Center, Washington, DC 20005, United States.
Drawing on a unique survey of US workers with information about their employers' policies on pay discussions and whether workers engage in such talk with their coworkers, we provide the most comprehensive investigation into pay talk in workplaces to date. Unlike existing treatments, we focus on core organizational and relational factors that influence whether workers talk about pay. We theorize pay talk as a challenge to managerial discretion, and we hypothesize that organizational attributes related to pay-setting influence workers' willingness to discuss wages and salaries with colleagues.
View Article and Find Full Text PDFBackground: Antibiomania is the manifestation of manic symptoms secondary to taking an antibiotic, which is a rare side effect. In these cases, the antibiotics most often incriminated are macrolides and quinolones, but to our knowledge, there are no published cases of antibiomania secondary to cotrimoxazole. Furthermore, we also provide an update of pharmacovigilance data concerning antibiomania through a search of the World Health Organization (WHO) database.
View Article and Find Full Text PDFFront Physiol
October 2024
Department of Anesthesiology, The Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China.
Elife
November 2024
Department of Neurobiology and Anatomy, Wake Forest School of Medicine, Winston-Salem, United States.
The neural mechanisms that willfully direct attention to specific locations in space are closely related to those for generating targeting eye movements (saccades). However, the degree to which the voluntary deployment of attention to a location necessarily activates a corresponding saccade plan remains unclear. One problem is that attention and saccades are both automatically driven by salient sensory events; another is that the underlying processes unfold within tens of milliseconds only.
View Article and Find Full Text PDFNeural Netw
October 2023
Department of Mathematical and Computing Science, Tokyo Institute of Technology, 2-12-1 Ookayama, Meguro-ku, Tokyo, 152-8550, Japan; RIKEN AIP, Nihonbashi 1-chome Mitsui Building, 15th floor, 1-4-1 Nihonbashi, Chuo-ku, Tokyo, 103-0027, Japan. Electronic address:
Representation learning has been increasing its impact on the research and practice of machine learning, since it enables to learn representations that can apply to various downstream tasks efficiently. However, recent works pay little attention to the fact that real-world datasets used during the stage of representation learning are commonly contaminated by noise, which can degrade the quality of learned representations. This paper tackles the problem to learn robust representations against noise in a raw dataset.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!