The Shifting Border Between Perception and Cognition

The distinction between perception and cognition has always had a firm footing in both cognitive science and folk psychology. However, there is little agreement as to how the distinction should be drawn. In fact, a number of theorists have recently argued that, given the ubiquity of top‐down influences (at all levels of the processing hierarchy), we should jettison the distinction altogether. I reject this approach, and defend a pluralist account of the distinction. At the heart of my account is the claim that each legitimate way of marking a border between perception and cognition deploys a notion I call ‘stimulus‐control.’ Thus, rather than being a grab bag of unrelated kinds, the various categories of the perceptual are unified into a superordinate natural kind (mutatis mutandis for the complimentary categories of the cognitive).     

Reverse evolution in nanoscale Cu-rich precipitates of an aged Fe–Cu alloy under electropulsing

Nanoscale Cu-rich precipitates (CRPs) are one of the most important microstructural nano-features responsible for embrittlement and hardening of reactor pressure vessels (RPVs), which threaten the safe operation of nuclear power plants (NPPs) and hinder the lifetime extension of nuclear reactors. A thermally aged Fe-1.1 wt.%Cu alloy, which is used to simulate embrittlement of the irradiated RPV steels, was treated by electropulsing with various parameters. The effect of electropulsing on nanoscale CRPs was investigated by using transmission electron microscopy (TEM). Compared to the traditional heat treatment, the electropulsing treatment (EPT) can accelerate the dissolution of CRPs in an aged Fe-Cu alloy on account of the higher atomic drift flux and the additional Gibbs free energy induced by electropulsing. More importantly, EPT is likely to be a new way of eliminating irradiation-induced Cu-rich precipitates.     

No evidence that alcohol intoxication impairs judgments of learning in face recognition

Alcohol use is frequently involved in crime, making it crucial to understand the role of alcohol in facial recognition to maximize correct perpetrator identifications. Although the majority of the alcohol and face recognition research has investigated recognition with retrospective confidence judgments, we examined the effects of alcohol intoxication on face recognition with prospective metacognitive judgments. Participants (N = 54 university students without a history of hazardous alcohol/substance use) consumed either alcohol (mean breath alcohol concentration of 0.06 at pretest and 0.07 at post‐test) or a non‐alcoholic placebo drink. Participants then studied unfamiliar male and female faces and made judgments of learning (JOLs) for each face (i.e., predicted the likelihood of recognizing that face on a future memory test). After a brief distractor task, participants completed an old–new recognition test on which they attempted to distinguish the studied faces from new faces. It was found that the alcohol manipulation had minimal effect on face recognition performance or judgments of learning. Our results suggest that theory‐based cues about the effects of alcohol might play a greater role in retrospective judgments than prospective judgments. Although not a primary focus of the study, face recognition was better for male faces than female faces, and this occurred for both female and male participants. Limitations and implications of the research are discussed.     

Beyond Science Wars Redux: Feminist Philosophy of Science as Trustworthy Science Criticism

Bruno Latour is not the only scholar to reflect on his earlier contributions to science studies with some regret and resolve over climate skepticism and science denialism. Given the ascendency of merchants of doubt, should those who share Latour’s concerns join the scientists they study in circling the wagons, or is there a productive role still for science studies to question and critique scientists and scientific institutions? I argue for the latter, looking to postpositivist feminist philosophy as exemplified by Alison Wylie and Lynn Nelson, among others, as a guide. Feminist philosophers of science who ground their analysis in a detailed understanding of scientific practice are not science’s champions nor its antagonists, but they do stand in a distinct relationship to science. If not merchants of doubt, are they scientific gadflies or perhaps in scientific loyal opposition? Though these notions can underwrite useful approaches to science studies, neither captures the distinctive interdependency and interestedness of feminist philosophers and science. I suggest that we would be better served by the notion of trustworthy science criticism, building on the analyses of trust and trustworthiness by Annette Baier, among others, attendant to the dynamics of interdependency in trust relationships.     

Analysing political deception: The virtues of Bernard Williams' anti‐tyranny argument

According to Bernard Williams' “anti‐tyranny argument,” it is important for citizens to have access to true information about the exercise of political power in order to check the tendency of governments and politicians to become tyrannous. Although Williams thinks the argument is one of the better arguments for the importance of truthfulness in politics, he acknowledges 2 limitations. First, it appears to offer little more than the truism that tyranny is a bad thing—a truism that will be accepted by all but tyrants themselves. Second, it may not offer any reasons for the importance of true information about forms of political power, which do not seem tyrannous. I argue that kind of political analysis required to apply the anti‐tyranny argument enables it to overcome both limitations. In so doing, I show that it has a clear advantage over rival arguments for the importance of truthfulness in politics.     

The role of spatial frequency in emotional face classification

Previous studies with emotional face stimuli have revealed that our ability to identify different emotional states is dependent on the faces’ spatial frequency content. However, these studies typically only tested a limited number of emotional states. In the present study, we measured the consistency with which 24 different emotional states are classified when the faces are unfiltered, high-, or low-pass filtered, using a novel rating method that simultaneously measures perceived arousal (high to low) and valence (pleasant to unpleasant). The data reveal that consistent ratings are made for every emotional state independent of spatial frequency content. We conclude that emotional faces possess both high- and low-frequency information that can be relied on to facilitate classification.     

Experimental Power for Indirect Effects in Group-randomized Studies with Group-level Mediators

Mediation analyses have provided a critical platform to assess the validity of theories of action across a wide range of disciplines. Despite widespread interest and development in these analyses, literature guiding the design of mediation studies has been largely unavailable. Like studies focused on the detection of a total or main effect, an important design consideration is the statistical power to detect indirect effects if they exist. Understanding the sensitivity to detect indirect effects is exceptionally important because it directly influences the scale of data collection and ultimately governs the types of evidence group-randomized studies can bring to bear on theories of action. However, unlike studies concerned with the detection of total effects, literature has not established power formulas for detecting multilevel indirect effects in group-randomized designs. In this study, we develop closed-form expressions to estimate the variance of and the power to detect indirect effects in group-randomized studies with a group-level mediator using two-level linear models (i.e., 2-2-1 mediation). The results suggest that when carefully planned, group-randomized designs may frequently be well positioned to detect mediation effects with typical sample sizes. The resulting power formulas are implemented in the R package PowerUpR and the PowerUp!-Mediator software (causalevaluation.org).     

Black Mountain College: A Creative Art Space Where It Was Safe to Fail

Black Mountain College is remembered as an artistic utopian alternative to institutional learning. Its faculty and students included some of the most important creative thinkers of the 20th century. Its foundation was built on the philosophy of “learning by doing.” But what made Black Mountain such a dynamic educational environment? Today, the financial burden of higher education places a lasting strain on students that inhibits creative growth. Does the educational structure of the college system impede our learning? Black Mountain was a legendary educational experiment, which offers a model for contemporary art education.