NATURALIZED SACREDNESS? A REALIST,PANENTHEIST, AND PERENNIALIST ALTERNATIVE TO KAUFFMAN'S CONSTRUCTIVISM

In his recent book Reinventing the Sacred, renowned biologist and systems theorist Stuart Kauffman offers an avenue for the revival of the sacred and for reconciling sacredness with a robust scientific outlook. According to Kauffman, God is a human cultural invention, and he urges us to reinvent the sacred as the ceaseless creativity in nature. I argue that Kauffman's proposal suffers from a major shortcoming, namely, being at odds with the nature, and content, of authentic experiences of the sacred, experiences which point invariably in the direction of a reality which transcends human imagination and capacity for cultural innovation. Correspondingly, I point in the direction of an alternative approach to the revival of the sacred rooted in what I call the path of direct spiritual awareness. I argue that, while being in better accord with the phenomenology of religious experience, this realist alternative to Kauffman's constructivism also avoids the unpleasant symptoms which often accompany traditional theism, namely, dogmatism, irrationalism, and incompatibility with a scientifically minded metaphysics.     

大学生情绪复杂性对情绪信息注意偏向的影响

为考察大学生情绪复杂性对情绪信息注意偏向的影响,通过情绪体验范围和区分性量表(RDEES)筛选出高低情绪复杂性被试各30名,采用2(情绪复杂性:高、低)×3(效价:正性、中性和负性)×4(呈现条件:0/300/600/900ms)的三因素混合设计要求被试完成视觉搜索任务。结果显示:(1)高、低情绪复杂性组在情绪条件(正性、负性)下的正确率显著低于中性图片、反应时显著高于中性图片,均表现出对情绪图片的注意偏向;(2)高分组在正性图片0ms呈现的条件下的正确率显著高于低分组,在负性图片300ms和900ms呈现和正性图片900ms呈现条件下的反应时显著低于低分组。     

Slow development of vocal sequences through ontogeny in wild chimpanzees (Pan troglodytes verus)

The development of the unique, hierarchical, and endless combinatorial capacity in a human language requires neural maturation and learning through childhood. Compared with most non-human primates, where combinatorial capacity seems limited, chimpanzees present a complex vocal system comprising hundreds of vocal sequences. We investigated how such a complex vocal system develops and the processes involved. We recorded 10,929 vocal utterances of 98 wild chimpanzees aged 0–55 years, from Taï National Park, Ivory Coast. We developed customized Generalized non-Linear Models to estimate the ontogenetic trajectory of four structural components of vocal complexity: utterance length, diversity, probability of panting (requiring phonation across inhalation and exhalation), and probability of producing two adjacent panted units. We found chimpanzees need 10 years to reach adult levels of vocal complexity. In three variables, the steepest increase coincided with the age of first non-kin social interactions (2–5 years), and plateaued in sub-adults (8–10 years), as individuals integrate into adult social life. Producing two adjacent panted units may require more neuromuscular coordination of the articulators, as its emergence and steepest increase appear later in development. These results suggest prolonged maturational processes beyond those hitherto thought likely in species that do not learn their vocal repertoire. Our results suggest that multifaceted ontogenetic processes drive increases in vocal structural complexity in chimpanzees, particularly increases in social complexity and neuro-muscular maturation. As humans live in a complex social world, empirical support for the “social complexity hypothesis” may have relevance for theories of language evolution.

Research Highlights

• Chimpanzees need around 10 years to develop the vocal structural complexity present in the adult repertoire, way beyond the age of emergence of every single vocal unit.
• Multifaceted ontogenetic processes may drive increases in vocal structural complexity in chimpanzees, particularly increases in social complexity and neuro-muscular maturation.
• Non-linear increases in vocal complexity coincide with social developmental milestones.
• Vocal sequences requiring rapid articulatory change emerge later than other vocal sequences, suggesting neuro-muscular maturational processes continue through the juvenile years.

     

BDSM as a Playful Learning Site for Qualitative Complexity

Abstract

Through an autoethnographic and transdisciplinary discussion of BDSM practice, the article articulates BDSM as a performative playful space with high potential for experiential learning, where conventional ways of sensing, feeling, thinking, valuing and acting, and social rules and hierarchies are rendered uncertain, negotiable and full of possibilities. BDSM can foster a sensibility to qualitative complexity through a heightened corporeal, sensual, emotional and (aesth)et(h)ic experience. It trains a potent sagacity that may be further mobilized in social learning processes, eventually helping us navigate beyond today’s unsustainable times.     

Evaluation of the Effects of Prescribing Gait Complexity Using Several Fluctuating Timing Imperatives

Abstract

Variability in the temporal structure of gait patterns, measured by “Fractal Index” (FI), is thought to represent abundancy of movement patterns facilitating adaptive control of walking. However we do not know how FI changes according to different walking rhythms or if this is repeatable, as needed to exploit the paradigm for rehabilitation. Fourteen healthy young adults synchronised heel contact to an auditory metronome twice each in four conditions (uncued, white noise, pink noise, and red noise) and three sessions. FI differed based on the walking condition while no effect of session was revealed. The results of this study suggest gait fractality changes systematically with different stimuli and can be consistently prescribed in a desired direction within a group of healthy young individuals.     

Testing Differential Item Functioning in Small Samples

Abstract

Differential item functioning (DIF) is a pernicious statistical issue that can mask true group differences on a target latent construct. A considerable amount of research has focused on evaluating methods for testing DIF, such as using likelihood ratio tests in item response theory (IRT). Most of this research has focused on the asymptotic properties of DIF testing, in part because many latent variable methods require large samples to obtain stable parameter estimates. Much less research has evaluated these methods in small sample sizes despite the fact that many social and behavioral scientists frequently encounter small samples in practice. In this article, we examine the extent to which model complexity—the number of model parameters estimated simultaneously—affects the recovery of DIF in small samples. We compare three models that vary in complexity: logistic regression with sum scores, the 1-parameter logistic IRT model, and the 2-parameter logistic IRT model. We expected that logistic regression with sum scores and the 1-parameter logistic IRT model would more accurately estimate DIF because these models yielded more stable estimates despite being misspecified. Indeed, a simulation study and empirical example of adolescent substance use show that, even when data are generated from / assumed to be a 2-parameter logistic IRT, using parsimonious models in small samples leads to more powerful tests of DIF while adequately controlling for Type I error. We also provide evidence for minimum sample sizes needed to detect DIF, and we evaluate whether applying corrections for multiple testing is advisable. Finally, we provide recommendations for applied researchers who conduct DIF analyses in small samples.     

Perceiving versus inferring movements to understand dynamic events: The influence of content complexity

ObjectivesWhat type of visual presentation is best in helping learners to understand the functioning of a dynamic system and under what conditions? This study investigated the effect of content complexity on perceived cognitive load and performance resulting from studying depicted movements of team play either in an explicit manner (animation) or via arrow symbols (static diagram).DesignA 2 (treatment: diagram vs. animation) × 2 (content complexity: low vs. high) between subjects design was adopted in the experiment.MethodsForty-eight university students were randomly assigned to the four study conditions and required to perform a reconstruction test and rate their perceived cognitive load following the study phase.ResultsData analyses revealed that for low-complexity content, participants exposed to the animation treatment learned more efficiently – based on the combination of learning and cognitive load scores – than those exposed to the diagram treatment. On the other hand, for high-complexity content, participants exposed to the diagram treatment learned more efficiently than those exposed to the animation treatment.ConclusionThe findings stress the importance of considering the task complexity factor when designing and presenting instructional materials to learners.