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Governmental intervention in sport is not uncommon, especially at the professional level of the global sports industry. However, until recently, governmental intervention in intercollegiate sport was rare. Using a contextual analysis, this article situates Donald Trump's 2025 Name, Image, and Likeness (NIL) executive order within the historical tradition of neo-Jacksonian populism. Drawing parallels to Andrew Jackson, it argues that Trump's intervention reflects exclusionary nationalism, economic populism, and executive-centered governance that expand protections for some while constraining others. Framed as "saving college sports," the order reasserts amateurism, restricts third-party compensation, and curtails athletes' labor rights, potentially and disproportionately affecting Black athletes in revenue-generating sports. The article contends that the policy preserves institutional control and racialized hierarchies, limiting economic emancipation under the guise of reform.
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This JAMA Forum discusses ideas ranging from direct subsidies to better Affordable Care Act health exchanges as potential ways to reform and improve the health care system in the US.
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Sweeping proposed rule would also restrict foreign collaborations and cut funding for open-access fees.
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Faces are among the most crucial visual stimuli for humans, and face detection is usually highly accurate. Humans can recognize faces rapidly and accurately, even under challenging viewing conditions, such as peripheral presentation and brief presentation times. Here, we show that faces are systematically underreported when presented in small groups, even for arrays as small as three faces. Participants viewed arrays of 3 to 6 identical faces with spacing well above visual resolution in the visual periphery. They reported the number of faces (Experiments 1 and 2), and additionally face orientations (upright or upside-down, Experiment 2). Participants frequently reported fewer faces than presented -even when only three faces were presented- while performing well in the face orientation task. Our results reveal unexpected detection-like errors for a highly important stimulus class. We suggest that the visual system optimizes the use of processing resources by prioritizing information compression over numerical accuracy when presented with redundant information.