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Brooke, S., & Rao, A. H. (2024). Designing for justice in freelancing: Testing platform interventions to minimise discrimination in online labour markets. Big Data and Society, 11(1). https://doi.org/10.1177/20539517241232631 -
XRISM Collaboration, Audard, M., Vink, J., & Agarwal, M. (2024). The XRISM first-light observation: Velocity structure and thermal properties of the supernova remnant N 132D. Publications of the Astronomical Society of Japan, 76(6), Article psae080. https://doi.org/10.1093/pasj/psae080 -
Mayrhofer, W., Biemann, T., Koch-Bayram, I., & Rapp, M. L. (2024). Context is key: A 34-country analysis investigating how similar HRM systems emerge from similar contexts. Human Resource Management, 63(2), 355-371. https://doi.org/10.1002/hrm.22205 -
Voeten, C., Pinget, A. F., Kingma, M., Stefan, N., & Van de Velde, H. (2024). Listener factors in accent recognition: A perceptual-dialectological study of Frisian. Penn Working Papers in Linguistics, 30(2), 153-162. https://doi.org/20.500.14332/60608 -
Burgers, C. (2024). Irony and satire. In R. W. Gibbs, & H. L. Colston (Eds.), The Cambridge Handbook of Irony and Thought (pp. 325-344). Cambridge University Press. https://doi.org/10.1017/9781108974004.023 -
Grusauskaite, K., Carbone, L., Harambam, J., & Aupers, S. (2024). Debating (in) echo chambers: How culture shapes communication in conspiracy theory networks on YouTube. New Media and Society, 26(12), 7037-7057. https://doi.org/10.1177/14614448231162585 -
Sarabi, A., & Lehmann, N. (2024). Who Shortlists? Evidence on Gender Disparities in Hiring Outcomes. Administrative Science Quarterly, 69(4), 1044-1084. https://doi.org/10.1177/00018392241283946 -
Johnson, P. T. J., Malawauw, R. J., Piaskowy, J., Calhoun, D. M., Kohl, Z., ter Horst, L. J. V., & Zelmer, D. A. (2024). Emergence of black spot syndrome in Caribbean reefs: a century of fish collections reveal long-term increases in Scaphanocephalus infection. Proceedings of the Royal Society B: Biological Sciences, 291(2034), Article 20242065. https://doi.org/10.1098/rspb.2024.2065 -
Schelter, S., Grafberger, S., & de Rijke, M. (2024). Snarcase - Regain Control over Your Predictions with Low-Latency Machine Unlearning. Proceedings of the VLDB Endowment, 17(12), 4273-4276. https://doi.org/10.14778/3685800.3685853
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