(Ap)pointing the canon Rousseau's Émile, visions of the state, and education

Jean-Jacques Rousseau’s Émile, ou de I’Education (Émile, or on Education) has been described by Rousseau scholars in latter twentieth century English-language philosophy as an educational classic. In 1995 Robert Wokler argued that together with Montesquieu, Hume, Smith, and Kant among his contemporaries, Rousseau had exerted the most profound influence on modern European intellectual history, “perhaps even surpassing anyone else of his day." For Wokler Émile is “the most significant work on education after Plato’s Republic.” Earlier in 1977, Allan Bloom questioned why Émile had not been the subject of analysis in philosophy relative to the rest of Rousseau‘s work, for “Émile is truly a great book, one that lays out for the first time and with the greatest clarity and vitality the modern way of posing the problems of psychology.” Bloom also saw Émile as “one of those rare total or synoptic books... a book comparable to Plato’s Republic, which it is meant to rival or supersede” and argued that Rousseau himself was at the source of a new tradition: “Whatever else Rousseau may have accomplished, he presented alternatives available to man more comprehensively and profoundly and articulated them in the form which has dominated discussion since his time." Even Peter Gay’s earlier commentary on John Locke and education in 1964 could not escape this central positioning of the text. The significance of Locke’s Some Thoughts on Education is weighed in relation to its impact on Rousseau‘s Émile. For Gay, the latter is “probably the most influential revolutionary tract on education that we have.”

'The ones with the beastly lives': Gender and textuality in Jean Rhys's Voyage in the Dark

Anna Morgan, the central character of Jean Rhys's Voyage in the Dark, has previously been read as a victim of her own inability to fashion some form of life for herself.1 It is possible, however, to suggest an alternative to such character-based readings and instead examine the systems of oppression which work to ensure that Anna remains an excluded, marginalized subject. Rather than personal failings, it is Anna's gender and colonial status which prevent her from participating fully in the dominant social and economic order of Voyage in the Dark. Anna is textually constrained on three levels, which may be defined as economic, colonialist, and narrative. Imbricated within these is the question of gender, which functions to place Anna in a position of double-exclusion within the text. These forms of exclusion function at the levels of discourse and narrative; I would argue that Anna's position is not, therefore, a product of realist character 'flaws' but rather that her discursive placement within the novel offers insight into the ways in which colonialism and sexism function in terms of textuality.

Estimation of cosmological parameters using adaptive importance sampling

We present a Bayesian sampling algorithm called adaptive importance sampling or population Monte Carlo (PMC), whose computational workload is easily parallelizable and thus has the potential to considerably reduce the wall-clock time required for sampling, along with providing other benefits. To assess the performance of the approach for cosmological problems, we use simulated and actual data consisting of CMB anisotropies, supernovae of type Ia, and weak cosmological lensing, and provide a comparison of results to those obtained using state-of-the-art Markov chain Monte Carlo (MCMC). For both types of data sets, we find comparable parameter estimates for PMC and MCMC, with the advantage of a significantly lower wall-clock time for PMC. In the case of WMAP5 data, for example, the wall-clock time scale reduces from days for MCMC to hours using PMC on a cluster of processors. Other benefits of the PMC approach, along with potential difficulties in using the approach, are analyzed and discussed.

Bayesian model comparison in cosmology with Population Monte Carlo

We use Bayesian model selection techniques to test extensions of the standard flat LambdaCDM paradigm. Dark-energy and curvature scenarios, and primordial perturbation models are considered. To that end, we calculate the Bayesian evidence in favour of each model using Population Monte Carlo (PMC), a new adaptive sampling technique which was recently applied in a cosmological context. The Bayesian evidence is immediately available from the PMC sample used for parameter estimation without further computational effort, and it comes with an associated error evaluation. Besides, it provides an unbiased estimator of the evidence after any fixed number of iterations and it is naturally parallelizable, in contrast with MCMC and nested sampling methods. By comparison with analytical predictions for simulated data, we show that our results obtained with PMC are reliable and robust. The variability in the evidence evaluation and the stability for various cases are estimated both from simulations and from data. For the cases we consider, the log-evidence is calculated with a precision of better than 0.08. Using a combined set of recent CMB, SNIa and BAO data, we find inconclusive evidence between flat LambdaCDM and simple dark-energy models. A curved Universe is moderately to strongly disfavoured with respect to a flat cosmology. Using physically well-motivated priors within the slow-roll approximation of inflation, we find a weak preference for a running spectral index. A Harrison-Zel'dovich spectrum is weakly disfavoured. With the current data, tensor modes are not detected; the large prior volume on the tensor-to-scalar ratio r results in moderate evidence in favour of r=0.

Directional dominance on stature and cognition in diverse human populations

Homozygosity has long been associated with rare, often devastating, Mendelian disorders1, and Darwin was one of the first to recognize that inbreeding reduces evolutionary fitness2. However, the effect of the more distant parental relatedness that is common in modern human populations is less well understood. Genomic data now allow us to investigate the effects of homozygosity on traits of public health importance by observing contiguous homozygous segments (runs of homozygosity), which are inferred to be homozygous along their complete length. Given the low levels of genome-wide homozygosity prevalent in most human populations, information is required on very large numbers of people to provide sufficient power3, 4. Here we use runs of homozygosity to study 16 health-related quantitative traits in 354,224 individuals from 102 cohorts, and find statistically significant associations between summed runs of homozygosity and four complex traits: height, forced expiratory lung volume in one second, general cognitive ability and educational attainment (P < 1 × 10−300, 2.1 × 10−6, 2.5 × 10−10 and 1.8 × 10−10, respectively). In each case, increased homozygosity was associated with decreased trait value, equivalent to the offspring of first cousins being 1.2 cm shorter and having 10 months’ less education. Similar effect sizes were found across four continental groups and populations with different degrees of genome-wide homozygosity, providing evidence that homozygosity, rather than confounding, directly contributes to phenotypic variance. Contrary to earlier reports in substantially smaller samples5, 6, no evidence was seen of an influence of genome-wide homozygosity on blood pressure and low density lipoprotein cholesterol, or ten other cardio-metabolic traits. Since directional dominance is predicted for traits under directional evolutionary selection7, this study provides evidence that increased stature and cognitive function have been positively selected in human evolution, whereas many important risk factors for late-onset complex diseases may not have been.

Worldwide outdoor round robin study of organic photovoltaic devices and modules

Accurate characterization and reporting of organic photovoltaic (OPV) device performance remains one of the important challenges in the field. The large spread among the efficiencies of devices with the same structure reported by different groups is significantly caused by different procedures and equipment used during testing. The presented article addresses this issue by offering a new method of device testing using “suitcase sample” approach combined with outdoor testing that limits the diversity of the equipment, and a strict measurement protocol. A round robin outdoor characterization of roll-to-roll coated OPV cells and modules conducted among 46 laboratories worldwide is presented, where the samples and the testing equipment were integrated in a compact suitcase that served both as a sample transportation tool and as a holder and test equipment during testing. In addition, an internet based coordination was used via plasticphotovoltaics.org that allowed fast and efficient communication among participants and provided a controlled reporting format for the results that eased the analysis of the data. The reported deviations among the laboratories were limited to 5% when compared to the Si reference device integrated in the suitcase and were up to 8% when calculated using the local irradiance data. Therefore, this method offers a fast, cheap and efficient tool for sample sharing and testing that allows conducting outdoor measurements of OPV devices in a reproducible manner.