Cultural snapshots: Theory and method

Causal influences of culture on cognition are challenging to examine scientifically. We here introduce a method to address this challenge. Cultural snapshots enable scientists to (a) characterize the cultural information commonly and frequently encountered by a collective, (b) examine how such cultural information influences the cognitions of individuals, and (c) draw conclusions about the emergence of shared cognition. Specifically, cultural snapshots are recorded samples of public environments commonly encountered by many people. Television scenes, photographs of public spaces, magazine pages, and social media conversations are all examples of cultural snapshots. Representative sets of cultural snapshots can be coded to index the systematic patterns of information encountered by a collective (i.e., cultural patterns). These same materials can be used to experimentally manipulate those cultural patterns, allowing scientists to examine cultural influences on cognition and behavior. We here review and provide guidelines for cultural snapshots research, trace cultural snapshots to classic theories of culture, and describe how cultural snapshots balance the constraints of representative design (Brunswik, 1956 ) with those of causal inference. We then illustrate how this approach is used to address (a) questions of causality in cultural psychology and (b) questions of applicability in social cognition research. We conclude by evaluating the strengths and weaknesses of the approach.     

Morphic Fields

Formulation of a general model of evolution is presented which is based upon the recognition of the “biosocial” entity, that is the biosphere and human society, as a component‐system. It can be demonstrated that the interactions of the components (moleculas, cells, organisms, ecosystems in the biological realms and people, artifacts and ideas in the societies) have replicative organization. We suggest an explanation for the spontaneous emergence of replicative function and organization, a process called autogenesis. During autogenesis, hierarchical levels of replicative organization emerge and compartmentalization and convergence of replicative information occurs. Questions of the origin and evolution of life are discussed.

The replicative paradigm can also be applied to the processes of cultural evolution, in which complex replicative networks of people, ideas, and man‐made artifacts show all stages and phenomena of autogenesis. Finally, the present state of evolution of the whole global biosocial system is discussed.     

An Ecologically Differentiated, Multifactor Model of Adolescent Network Orientation

The paper presents a test of an ecologically differentiated model of social network orientation for adolescents that distinguished between different social network reference groups (family, peers, and nonfamily adults). The model was tested in two consecutive studies. Study 1 describes initial model development (N = 120). Study 2 presents a confirmatory factor analysis with a second sample (N = 430) to replicate the factor structure developed in Study 1. Results supported a three-factor model of network orientation that differentiated between network reference groups. Analyses of concurrent and predictive validity indicated that orientation to network reference groups was differentially related to the perceived quality and frequency of support from members of respective social network groups. Group differences (gender, race) regarding network orientation to different network reference groups were consistent with studies of other social network processes. Implications for the study of the network orientation and the study of social networks more generally are discussed.     

Explainability of neural networks for child language: Agent-First strategy in comprehension of Korean active transitive construction

This study investigates how neural networks address the properties of children's linguistic knowledge, with a focus on the Agent-First strategy in comprehension of an active transitive construction in Korean. We develop various neural-network models and measure their classification performance on the test stimuli used in a behavioural experiment involving scrambling and omission of sentential components at varying degrees. Results show that, despite some compatibility of these models’ performance with the children's response patterns, their performance does not fully approximate the children's utilisation of this strategy, demonstrating by-model and by-condition asymmetries. This study's findings suggest that neural networks can utilise information about formal co-occurrences to access the intended message to a certain degree, but the outcome of this process may be substantially different from how a child (as a developing processor) engages in comprehension. This implies some limits of neural networks on revealing the developmental trajectories of child language.

Research Highlights

• This study investigates how neural networks address properties of child language.
• We focus on the Agent-First strategy in comprehension of Korean active transitive.
• Results show by-model/condition asymmetries against children's response patterns.
• This implies some limits of neural networks on revealing properties of child language.

     

The key to cultural innovation lies in the group dynamic rather than in the individual mind

Vaesen infers unique properties of mind from the appearance of specific cultural innovation--a correlation without causal direction. Shifts in habitat, population density, and group dynamics are the only independently verifiable incentives for changes in cultural practices. The transition from Acheulean to Late Stone Age technologies requires that we consider how population and social dynamics affect cultural innovation and mental function.     

Diasporic sublime: Sikh martyrs,Internet mediations,and the question of the unimaginable

How are the Internet and the World Wide Web productive of new forms of cultural life? I analyse how the confluence of martyrdom, terror, and computer-mediated-communications has contributed to the emergence of a Sikh diasporic cultural politics. I argue that the centrality and force of both the Internet and the figure of the martyr for many Khalistanis prompt a rethinking of the privilege scholars often accord to the “imagination” and “experience” in explaining the creation of diasporic communities. In outlining what I call the diasporic sublime, I mine the works of Walter Benjamin and Immanuel Kant to develop a more precise way for talking about community formation in terms of the inexperiencable and the unimaginable.     

Monotone Quantifiers Emerge via Iterated Learning

Natural languages exhibit many semantic universals, that is, properties of meaning shared across all languages. In this paper, we develop an explanation of one very prominent semantic universal, the monotonicity universal. While the existing work has shown that quantifiers satisfying the monotonicity universal are easier to learn, we provide a more complete explanation by considering the emergence of quantifiers from the perspective of cultural evolution. In particular, we show that quantifiers satisfy the monotonicity universal evolve reliably in an iterated learning paradigm with neural networks as agents.     

Effect of stress on a cognitive autopoietic system

A cognitive autopoietic system is a dynamic, self-generating, organized and self-organizing thing which self-regulates (by internal rearrangement) with respect to an external medium. The present model of the effect of stress on a cognitive autopoietic (ESCA) system captures the notion of how a priori cognitive structures (categories), combined with external sensations, constitute the basis for the development of cognitive structures (CS) and their architecture. The ESCA model integrates the fact that the mind–environment relation has a twofold effect: on one hand, it enables self-regulation of mind (the matching of external sensations with CS), but on the other hand, it poses a potential perturbation on the same, which may result in the breakdown of the self-regulation of mind. The architecture of the CS developed on the basis of the ESCA model is consistent with the manifestations of the effect of stress on mind behavior at different levels. The ESCA model predicts that the faculty to concatenate synthetic propositions, which enables enhanced categorical conscious cognition (ECCC) on the basis of CS, is inhibited by stress, thus reducing cognition to a mechanized heuristic categorical conscious cognition (HCCC) and/or an unconscious cognition (UC) level. The ESCA model explains the casual relation between cognition of persistent social stress and self-esteem, sensory deprivation and self-cognition, a mechanized mind state and accumulated stress, and the effect of stress activated short-term emotions on cognition. Finally, it is speculated how persistently perceived uncertainty may induce stress.     

The Gaussian Graphical Model in Cross-Sectional and Time-Series Data

We discuss the Gaussian graphical model (GGM; an undirected network of partial correlation coefficients) and detail its utility as an exploratory data analysis tool. The GGM shows which variables predict one-another, allows for sparse modeling of covariance structures, and may highlight potential causal relationships between observed variables. We describe the utility in three kinds of psychological data sets: data sets in which consecutive cases are assumed independent (e.g., cross-sectional data), temporally ordered data sets (e.g., n = 1 time series), and a mixture of the 2 (e.g., n > 1 time series). In time-series analysis, the GGM can be used to model the residual structure of a vector-autoregression analysis (VAR), also termed graphical VAR. Two network models can then be obtained: a temporal network and a contemporaneous network. When analyzing data from multiple subjects, a GGM can also be formed on the covariance structure of stationary means—the between-subjects network. We discuss the interpretation of these models and propose estimation methods to obtain these networks, which we implement in the R packages graphicalVAR and mlVAR. The methods are showcased in two empirical examples, and simulation studies on these methods are included in the supplementary materials.     

Logit models and logistic regressions for social networks: I. An introduction to Markov graphs andp

Spanning nearly sixty years of research, statistical network analysis has passed through (at least) two generations of researchers and models. Beginning in the late 1930's, the first generation of research dealt with the distribution of various network statistics, under a variety of null models. The second generation, beginning in the 1970's and continuing into the 1980's, concerned models, usually for probabilities of relational ties among very small subsets of actors, in which various simple substantive tendencies were parameterized. Much of this research, most of which utilized log linear models, first appeared in applied statistics publications.But recent developments in social network analysis promise to bring us into a third generation. The Markov random graphs of Frank and Strauss (1986) and especially the estimation strategy for these models developed by Strauss and Ikeda (1990; described in brief in Strauss, 1992), are very recent and promising contributions to this field. Here we describe a large class of models that can be used to investigate structure in social networks. These models include several generalizations of stochastic blockmodels, as well as models parameterizing global tendencies towards clustering and centralization, and individual differences in such tendencies. Approximate model fits are obtained using Strauss and Ikeda's (1990) estimation strategy.In this paper we describe and extend these models and demonstrate how they can be used to address a variety of substantive questions about structure in social networks.This research was supported by grants from the Australian Research Council and the National Science Foundation (#SBR93-10184). This paper was presented at the 1994 Annual Meeting of the Psychometric Society, Champaign, Illinois, June 1994. Special thanks go to Sarah Ardu for programming assistance, Laura Koehly and Garry Robins for help with this research, and to Shizuhiko Nishisato and three reviewers for their comments. INTERNETemail addresses:pattison@psych.unimelb.edu.au (PP);stanwass@uiuc.edu (SW). Affiliations: Department of Psychology, University of Melbourne (PP); Department of Psychology, Department of Statistics, and The Beckman Institute for Advanced Science and Technology, University of Illinois (SW).     

Imitation and novelty in product development

A human stigmergy model of product development through a series of incremental novelties and imitations is obtained by observing the isomorphism between solution trees generated by groups of humans participating in online games like Foldit, self-organizing topics in online learning systems, product evolution through a combination of innovation and imitation in the cell phone industry, and social networks formed over the past 40 years in creation of the Boston biotech commons. The model incorporates two very simple rules: (1) preferential attachment, and (2) the combination of existing product designs into a single design. A computer model used to simulate the model produces product evolution networks isomorphic to observed solution trees and product evolution trees. Additionally, industries with a high degree of novelty produce a product evolution network with scale-free and betweenness centrality structure.     

An Integral Perspective On The Political Economy Of “Big Change”

The integral age demands a new economic vision. This has to emphasize exchange as a processes not the exchange of things. It must address humanity's unique compulsion to learn using collaborative learning networks. These are what energize the self-organizing global change now accelerating the emergence of new global economic institutions and processes. This new vision requires political economy (i.e., economics integrated with its sociopolitical context).     

The Minds of God(s) and Humans: Differences in Mind Perception in Fiji and North America

Previous research suggests that how people conceive of minds depends on the culture in which they live, both in determining how they interact with other human minds and how they infer the unseen minds of gods. We use exploratory factor analysis to compare how people from different societies with distinct models of human minds and different religious traditions perceive the minds of humans and gods. In two North American samples (American adults, N = 186; Canadian students, N = 202), we replicated a previously found two‐factor agency/experience structure for both human and divine minds, but in Fijian samples (Indigenous iTaukei Fijians, N = 77; Fijians of Indian descent, N = 214; total N = 679) we found a three‐factor structure, with the additional containing items related to social relationships. Further, Fijians’ responses revealed a different three‐factor structure for human minds and gods’ minds. We used these factors as dimensions in the conception of minds to predict (a) expectations about human and divine tendencies towards punishment and reward; and (b) conception of gods as more embodied (an extension of experience) or more able to know people's thoughts (an extension of agency). We found variation in how these factors predict conceptions of agents across groups, indicating further theory is needed to explain how culturally generated concepts of mind lead to other sorts of social inferences. We conclude that mind perception is shaped by culturally defined social expectations and recommend further work in different cultural contexts to examine the interplay between culture and social cognition.     

The parental support networks of mothers and fathers: A multidimensional approach

This paper argues for a multidimensional approach to the study of the social support networks of mothers and fathers of young children. Network structure (e. g. size, density, member characteristics), support content (e. g. emotional, informational, economic and child care) and support quality (e. g. helpfulness, satisfaction with support, conflict associated with support and willingness to access support in future need) are distinguished. The goals of the study were: (1) to empirically test the multidimensionality of parental support networks; (2) to assess the relations among these three dimensions for mothers and for fathers; and (3) to examine how couples' support networks are interrelated. Individual at-home interviews were conducted with 100 parents to derive measures of parental support structure, content and quality. Fathers (N = 31) were compared to their spouses (N = 31) and to a comparison group of demographically similar married mothers (N = 38). For all three groups, the same three predicted dimensions emerged in the factor structure of their networks; in general, few gender differences were found. However, relations among structure, content and quality differed by gender, with network structure predicting support content and quality only for mothers. The network structure of couples was positively correlated, and overlap in network members was related to own and spouse's network helpfulness, satisfaction and child care support.     

Contextual self-organizing map: software for constructing semantic representations

In this article, we introduce a software package that applies a corpus-based algorithm to derive semantic representations of words. The algorithm relies on analyses of contextual information extracted from a text corpus—specifically, analyses of word co-occurrences in a large-scale electronic database of text. Here, a target word is represented as the combination of the average of all words preceding the target and all words following it in a text corpus. The semantic representation of the target words can be further processed by a self-organizing map (SOM; Kohonen, Self-organizing maps, 2001), an unsupervised neural network model that provides efficient data extraction and representation. Due to its topography-preserving features, the SOM projects the statistical structure of the context onto a 2-D space, such that words with similar meanings cluster together, forming groups that correspond to lexically meaningful categories. Such a representation system has its applications in a variety of contexts, including computational modeling of language acquisition and processing. In this report, we present specific examples from two languages (English and Chinese) to demonstrate how the method is applied to extract the semantic representations of words.     

Culture or anonymity? Differences in proposer behaviour in Korea and Germany

This study explores the proposer behaviour in an ultimatum game (UG) frame under anonymous and non‐anonymous conditions among a Korean and German subject pool (n = 590) in comparison. Whereas the anonymous condition is represented by the standard UG, the non‐anonymous condition integrates an aggregate of the Korean cultural context variables university affiliation, regional origin and seniority. The latter, a classic Confucian context variable, is measured by age differentials. The former two are impactful components of so‐called Yongo networks, a unique Korean informal institution identical to Chinese Guanxi ties. Yongo networks, yet underrepresented in research, are said to be a central context variable to explain Korean social ties and decision‐making behaviour. We observe significant differences between the offer behaviours of Korean and German subjects when exposing selected cultural variables. We argue that the behavioural differences observed are in fact due to culture not anonymity.     

Looking High and Low: Modem Art's Search and Seizure of Push-up Bras,Cadillac Fins and Blow-up Bunnies

Marie-Louise von Franz's classical volume on Number and Time was a pioneering effort to explore the deep archetypal structure of the way we organize our understanding of ourselves and the world. She used dreams, myths, and ancient cultural images to illustrate how numbers provide us with important insights into the co-creative dynamics of the psyche. In this column I seek to extend von Franz's work by illustrating a new mathematical model of how psychological dynamics are manifest in a series of dreams. These are the dreams of a young woman, whom I call “Davina,” going through critical life transitions (presented in greater detail in Rossi, 1999).     

Structuring for team success: The interactive effects of network structure and cultural diversity on team potency and performance

This longitudinal study used data from 91 self-managed teams (456 individuals, 60 nationalities) to examine the interactive effects of a team’s task (“workflow”) network structure and its cultural diversity (as indexed by nationality) on the team’s “potency” (i.e., the team’s confidence in its ability to perform) and its performance (as rated by expert judges). We found that whereas the emergence of dense task networks enhanced team potency it was the emergence of (moderately) centralized task networks that facilitated team performance. These varied structural effects, moreover, were themselves contingent on team composition: the more culturally diverse a team, the more pronounced were the positive effects of network density on team potency and the higher the level of network centralization required for optimal team performance. The success of a team appears to hinge on the interplay between network structure and team composition.     

Discrimination and adolescents' academic and socioemotional adjustment: The moderating roles of family and peer cultural socialisation

Racial discrimination has detrimental effects on ethnic minority adolescents' development. Guided by the integrative model of minority children's competencies and the bioecological model, the current study examined how family and peer cultural socialization independently and conjointly buffered the detrimental effects of discrimination on ethnic minority adolescents' academic and socio emotional adjustment. Using short-term longitudinal data from 245 eighth graders (87% Latinx, 51% female), results suggested that the moderating roles of cultural socialisation operated differently for academic and socioemotional outcomes. Specifically, the three-way interaction results indicated that family and peer cultural socializations appeared to be protective for adolescents' school engagement in the face of discrimination. The significant two-way interaction results revealed that both peer and family cultural socialisation tended to be protective-reactive for socioemotional outcomes, wherein the benefits of cultural socialisation were realised under low-risk but not high-risk conditions for depressive symptoms. Our study provides a nuanced understanding of the moderating roles of cultural socialisation in the links between discrimination and adolescents' well-being, and it highlights the importance of considering cultural socialisation from multiple contexts in examining ethnic minority adolescents' adjustment.     

International Migration and Religious Selection

Migrants are selected by several characteristics (age, education, skill, health, and family migration experience). Often less examined is religious selection. Using Guatemalan data, this research note tests whether religious affiliation is significantly associated with migration to the United States, net of other competing factors. Results are robust, demonstrating that Protestants are more likely than other religious groups to migrate. Additionally, mediating factors (social networks, cultural norms, and ideological links) are tested to identify social mechanisms behind the Protestant effect. The research note concludes with implications of religious selection and how religious selection can be further examined in migration and religion studies.