Polemos and Paideia: On the Weaponization of the School in Late Capitalism

A popular refrain in the politics of American education, often buttressed by a steady stream of studies, contends that ‘we are falling behind’ students from other countries. Sometimes this decline is specified in terms of discipline, but the general premise is that American students lag behind their foreign counterparts, with special dread attached to the notion of falling behind adversaries such as China. The failure to rectify our educational inadequacies apparently portends a genuine crisis, the loss of global dominance. The articulation of such fears is particularly instructive in discerning the political role of education in late capitalism, its conceptualization and uses within the context of politics. How do the fears of falling behind speak to the political role of education in late capitalism? I draw upon the ideas of the Herbert Marcuse and his Marxist intervention into Freudian psychoanalysis. Using Marcuse’s framework, I argue that in late capitalism the political role of education, formerly understood to serve life affirming value, has been reoriented to further the aims of the death drive. The fears of falling behind, and the policies that have followed, are symptomatic of a disposition toward education that has reconfigured the school as a means of conquest, subjugation, and war

Ritual, Myth, And Symbol In The Field Of Nuclear Posturing

Since their inception, the actual use of nuclear weapons in conflict is extremely limited. There have been only two documented occurrences which were committed exclusively by the United States. By contrast, however, state posturing with nuclear weapons occurs with regularity transcending historical situations, national wealth, military power, or even the actual possession of nuclear weapons. Rationalist arguments that depict nuclear posturing as a means of deterrence appear insufficient given its tendency to unbalance perceptions of equilibrium, and the public nature in which it occurs. Instead, I examine nuclear posturing by the United States during the Cold War as a form of political ritual providing for three distinctive, but complementary functions. First, posturing was a means to create coherence between foreign nuclear policy and domestic civil defense by manipulating symbols of fear. Second, posturing allowed the state to present itself in its new role as a shamanic authority over a new and powerful realm. Finally, posturing allowed for a normalization of the contradictory roles assumed by the state as it upheld its commission to defend the citizenry by means that would most probably destroy them all

Material Recognition in the Wild with the Materials in Context Database

Recognizing materials in real-world images is a challenging task. Real-world materials have rich surface texture, geometry, lighting conditions, and clutter, which combine to make the problem particularly difficult. In this paper, we introduce a new, large-scale, open dataset of materials in the wild, the Materials in Context Database (MINC), and combine this dataset with deep learning to achieve material recognition and segmentation of images in the wild. MINC is an order of magnitude larger than previous material databases, while being more diverse and well-sampled across its 23 categories. Using MINC, we train convolutional neural networks (CNNs) for two tasks: classifying materials from patches, and simultaneous material recognition and segmentation in full images. For patch-based classification on MINC we found that the best performing CNN architectures can achieve 85.2% mean class accuracy. We convert these trained CNN classifiers into an efficient fully convolutional framework combined with a fully connected conditional random field (CRF) to predict the material at every pixel in an image, achieving 73.1% mean class accuracy. Our experiments demonstrate that having a large, well-sampled dataset such as MINC is crucial for real-world material recognition and segmentation.Comment: CVPR 2015. Sean Bell and Paul Upchurch contributed equall

Anticipatory attention is a stable state induced by transient control mechanisms

Anticipatory attention is a neurocognitive state in which attention control regions bias neural activity in sensory cortical areas to facilitate the selective processing of incoming targets. Previous electroencephalographic (EEG) studies have identified event-related potential (ERP) signatures of anticipatory attention, and implicated alpha band (8–12 Hz) EEG oscillatory activity in the selective control of neural excitability in visual cortex. However, the degree to which ERP and alpha band measures reflect related or distinct underlying neural processes remains to be further understood. To investigate this question, we analyzed EEG data from 20 human participants performing a cued object-based attention task. We used support vector machine (SVM) decoding analysis to compare the attentional time courses of ERP signals and alpha band power. We found that ERP signals encoding attentional instructions are dynamic and precede stable attention-related changes in alpha power, suggesting that ERP and alpha power reflect distinct neural processes. We proposed that the ERP patterns reflect transient attentional orienting signals originating in higher order control areas, whereas the patterns of synchronized oscillatory neural activity in the alpha band reflect a sustained attentional state. These findings support the hypothesis that anticipatory attention involves transient top-down control signals that establish more stable neural states in visual cortex, enabling selective sensory processing

A new method for deriving composition of S-type asteroids from noisy and incomplete near-infrared spectra

The surface composition of S-type asteroids can be determined using band parameters extracted from their near-infrared (NIR) spectra (0.7-2.50 $\mu$m) along with spectral calibrations derived from laboratory samples. In the past, these empirical equations have been obtained by combining NIR spectra of meteorite samples with information about their composition and mineral abundance. For these equations to give accurate results, the characteristics of the laboratory spectra they are derived from should be similar to those of asteroid spectral data (i.e., similar signal-to-noise ratio (S/N) and wavelength range). Here we present new spectral calibrations that can be used to determine the mineral composition of ordinary chondrite-like S-type asteroids. Contrary to previous work, the S/N of the ordinary chondrite spectra used in this study has been decreased to recreate the S/N typically observed among asteroid spectra, allowing us to obtain more realistic results. In addition, the new equations have been derived for five wavelength ranges encompassed between 0.7 and 2.50 $\mu$m, making it possible to determine the composition of asteroids with incomplete data. The new spectral calibrations were tested using band parameters measured from the NIR spectrum of asteroid (25143) Itokawa, and comparing the results with laboratory measurements of the returned samples. We found that the spectrally derived olivine and pyroxene chemistry, which are given by the molar contents of fayalite (Fa) and ferrosilite (Fs), are in excellent agreement with the mean values measured from the samples (Fa$_{28.6\pm1.1}$ and Fs$_{23.1\pm2.2}$), with a maximum difference of 0.6 mol\% for Fa and 1.4 mol\% for Fs.Comment: 22 pages, 11 figures, 2 tables, accepted for publication in The Astronomical Journa

Effect of an Office-Based Surgical Safety System on Patient Outcomes

Objective: To implement a customizable checklist in an interdisciplinary, team-based plastic surgery setting to reduce surgical complications. Methods: We examined the effects on patient outcomes and documentation of a customizable, office-based surgical safety checklist. On the basis of the World Health Organization Surgical Safety Checklist, we developed a 28-element, perioperative checklist for use in the office-based surgical setting. The checklist was implemented in an office-based plastic surgery practice with an already high standard of care. We recorded baseline, prechecklist rates for each checklist item and postoperative adverse outcomes via a retrospective chart review of 219 cases. After an education program and 30-day run-in period, a prospective, post–checklist implementation chart review was initiated (n = 184), with outcome data compared to the baseline. Results: The total number of complications per 100 patients decreased from 15.1 to 2.72 after checklist implementation (P < .0001), for an absolute risk reduction of 12.4. The proportion of patients with one or more complications decreased from 11.9% to 2.72% (P = .0006). Site and side marking increased from 69.9% prechecklist to 97.8% (P < .0001). Medical optimization increased from 90.9% to 99.5% (P < .0001). Emergency medical services (EMS) policy confirmation, case-specific equipment availability, anticipation of estimated blood loss, and verbal confirmation of local anesthetic toxicity precautions increased from 0% to 90.0% (P < .0001), 92.4% (P < .0001), 82.1% (P < .0001), and 91.3% (P < .0001), respectively. Assessment of patient satisfaction increased from 57.1% to 90.8% (P < .0001). Conclusions: Implementation of a customizable checklist was associated with a reduction in surgical complications in an office-based plastic surgery practice with an already high standard of care