In this article, the authors used Bayesian networks analysis, combining both the frequentist and the Hamiltonian Markov chain Monte Carlo (MCMC) approach, to investigate the highly representative elements in the cultural evolution of a Vietnamese city's architecture in the early 20th century.
Abstract:
The study of cultural evolution has taken on an increasingly interdisciplinary and diverse approach in explicating phenomena of cultural transmission and adoptions. Inspired by this computational movement, this study uses Bayesian networks analysis, combining both the frequentist and the Hamiltonian Markov chain Monte Carlo (MCMC) approach, to investigate the highly representative elements in the cultural evolution of a Vietnamese city’s architecture in the early 20th century. With a focus on the facade design of 68 old houses in Hanoi’s Old Quarter (based on 78 data lines extracted from 248 photos), the study argues that it is plausible to look at the aesthetics, architecture, and designs of the house facade to find traces of cultural evolution in Vietnam, which went through more than six decades of French colonization and centuries of sociocultural influence from China. The in-depth technical analysis, though refuting the presumed model on the probabilistic dependency among the variables, yields several results, the most notable of which is the strong influence of Buddhism over the decorations of the house facade. Particularly, in the top 5 networks with the best Bayesian Information Criterion (BIC) scores and p<0.05, the variable for decorations (DC) always has a direct probabilistic dependency on the variable B for Buddhism. The paper then checks the robustness of these models using Hamiltonian MCMC method and find the posterior distributions of the models’ coefficients all satisfy the technical requirement. Finally, this study suggests integrating Bayesian statistics in the social sciences in general and for the study of cultural evolution and architectural transformation in particular.
TL;DR: The investigation, joining frequentist and Bayesian analyses, aims to provide valuable insights into the current state of children’s attitudes, behaviors, competency levels, and use of ICT within the Vietnamese educational context.
TL;DR: The full dataset is introduced for the first time and a new Bayesian statistics approach for data analysis is suggested, which is expected to contribute new data for health economic researchers and new grounded scientific results for policymakers.
Q1. What contributions have the authors mentioned in the paper "Cultural evolution in vietnam's early 20th century: a bayesian networks analysis of hanoi franco-chinese house designs" ?
The study of cultural evolution has taken on an increasingly interdisciplinary and diverse approach in explicating phenomena of cultural transmission and adoptions. Inspired by this computational movement, this study uses Bayesian networks analysis, combining both the frequentist and the Hamiltonian Markov chain Monte Carlo ( MCMC ) approach, to investigate the highly representative elements in the cultural evolution of a Vietnamese city 's architecture in the early 20th century. With a focus on the façade design of 68 old houses in Hanoi 's Old Quarter ( based on 248 photos and 78 data lines ), the study argues that it is plausible to look at the aesthetics, architecture, and designs of the house façade to find traces of cultural evolution in Vietnam, which went through more than six decades of French colonization and centuries of sociocultural influence from China. The paper then discusses these findings and suggests integrating Bayesian statistics in social sciences in general and for studies of cultural evolution and architectural transformation in particular.
Q2. What is the purpose of the research?
More importantly, the research situates itself amid the rapid urbanization and commercialization in Vietnam as it tries to capture the old fragments of the capital city.
Q3. What is the significance of the inquiry into the house façade of Hanoi's Old Quarter?
The inquiry into the house façade of Hanoi's Old Quarter has brought sharp focus onto the ornamental features and their cultures of influence.
Q4. How did the study construct a Bayesian model?
By highlighting ornamental features that are highly representative of French and Chinese cultures as well as their hybridity, the study was able to construct an efficient Bayesian model that draws out the association and correlation among different variables.
Q5. What was the French colony's policy on urban planning and development?
Under French imperialism, the Cornudet Law thatwas passed by its government in 1919 stipulated the rules for urban planning and development in its colonies, such that contemporary Western construction techniques would take into account the native aesthetics and humid tropical climate (Le, 2013; Nguyen, 2014; Vongvilay, Shin, Kang, Kim, & Choi, 2015).
Q6. What is the implication of the current research?
The current research first and foremost carries a huge implication for the application of Bayesian analysis in the study of culture and social anthropology.
Q7. What is the probability of DC taking on the value of hybrid?
When there is a weak presence of Buddhisminspired decorative patterns/symbols, DC most likely takes on the value hybrid (HY) (90%).
Q8. What is the result of the cultural evolution of Vietnam?
The result hints at a quiet, subtle undercurrent of cultural evolution, of Buddhist influence always lurking in the Vietnamese culture even when it was not officially allowed or publicly declared.
Q9. What is the main reason for the lack of Confucian presence in Hanoi?
the lack of Confucian presence is attributable to the end of H an script in academic and official settings in 1919 and the elevation to national status of ChữQuốc Ngữ in Vietnam in 1945 (Chiung, 2007; Trinh, 2000).