Chinese popular music as a musical heritage and cultural marker of the Malaysian Chinese

Chinese popular music, inspired by pre-war Shanghai music known as ‘shidai qu’ (时代曲) (songs of the era) and evolving to include Canto pop and Taiwanese Mandarin songs, has always been popular among the Chinese in Malaysia. This music is featured on radio, television, karaoke, and performed by orchestras such as the Dama Chinese Orchestra (大马) to enthusiastic reception. The songs have a broad appeal that transcends time, generation, and place. Of significance is the observation that the music has become a cultural marker and musical heritage for Chinese in Malaysia and in the region. The paper looks at factors behind this development.     

Exploring Relationships Between the Global and Regional Measures of Spatial Autocorrelation

Abstract The objective of this research is to investigate dimensions of geographic variation in spatial dependency contained within large multilevel data sets. We calculate 1990 population density by census block group, county, and state for the 48 coterminous states and the District of Columbia of the United States, calculations of interest to a wide variety of spatial scientists. We explore relations between these levels and their variation across the nation. The empirical findings generated by this work furnish implications concerning the Modifiable Areal Unit Problem (MAUP), spatial autocorrelation statistics, scale effects, and resolution.     

Exploring Spatial Patterns Using an Expanded Spatial Autocorrelation Framework

Spatial autocorrelation (SA) is regarded as an important dimension of spatial pattern. SA measures usually consist of two components: measuring the similarity of attribute values and defining the spatial relationships among observations. The latter component is often represented by a spatial weights matrix that predefines spatial relationship between observations in most measures. Therefore, SA measures, in essence, are measures of attribute similarity, conditioned by spatial relationship. Another dimension of spatial pattern can be explored by controlling observations to be compared based upon the degree of attribute similarity. The resulting measures are spatial proximity measures of observations, meeting predefined attribute similarity criteria. Proposed measures reflect degrees of clustering or dispersion for observations meeting certain levels of attribute similarity. An existing spatial autocorrelation framework is expanded to a general framework to evaluate spatial patterns and can accommodate the proposed approach measuring proximity. Analogous to the concept of variogram, clustergram is proposed to show the levels of spatial clustering over a range of attribute similarity, or attribute lags. Specific measures based on the proposed approach are formulated and applied to a hypothetical landscape and an empirical example, showing that these new measures capture spatial pattern information not reflected by traditional spatial autocorrelation measures.     

Urban Centrality: A Simple Index

This study introduces a new measure of urban centrality. The proposed urban centrality index (UCI) constitutes an extension to the spatial separation index. Urban structure should be more accurately analyzed when considering a centrality scale (varying from extreme monocentricity to extreme polycentricity) than when considering a binary variable (monocentric or polycentric). The proposed index controls for differences in size and shape of the geographic areas for which data are available, and can be calculated using different variables such as employment and population densities, or trip generation rates. The properties of the index are illustrated with simulated artificial data sets and are compared with other similar measures proposed in the existing literature. The index is then applied to the urban structure of four metropolitan areas: Pittsburgh and Los Angeles in the United States; São Paulo, Brazil; and Paris, France. The index is compared with other traditional spatial agglomeration measures, such as global and local Moran's I, and density gradient estimations. El presente estudio introduce una nueva medida de centralidad. El índice de centralidad urbana propuesto (UCI, por sus siglas en inglés) es una extensión al índice de separación espacial (spatial separation index)(Midelfart‐Knarvik et al. 2000). El análisis de la estructura urbana resulta más preciso al usar el índice cuando se toma en cuenta una escala de continua de centralidad (que puede variar de un monocentrismo extremo a un policentrismo extremo) que cuando se considera una variable binaria (monocéntrica o policéntrica). El índex propuesto controla las diferencias de tamaño y forma de las áreas geográficas de las que se tienen datos, y puede ser calculada utilizando diferentes variables, como empleo y densidad poblacional, o tasas de generación de viajes. Las propiedades del índice se ilustran con conjuntos de datos artificiales simulados, y se comparan con otras mediciones similares en la literatura ya existente. Posteriormente, el índice es aplicado a la estructura urbana de cuatro áreas metropolitanas: Pittsburgh y Los Ángeles, en EEUU; San Pablo, en Brasil; y París, Francia. Finalmente, se compara el índice con otras mediciones tradicionales de aglomeración espacial, como el índice de Moran local y global, y estimaciones de gradiente de densidad. 本文介绍了一种度量城市中心性的新方法,提出的城市中心性指数（UCI）是对空间分离指数的扩展。当涉及到中心性规模（从极单中心到极多中心）,不仅仅是二元变量（单中心或多中心）,城市结构则需更加精确的测度。本文构建的指数可以通过数据可获取的不同大小和形状的地理单元控制,并通过不同变量（如就业与人口密度或者旅次产生率）测算得到。该指数的属性可以通过人工数据集的模拟示例说明,或者通过对比已有文献对相似指数的阐述加以说明。然后,通过将该指数应用于全球四个大都市区（美国匹兹堡和洛杉矶、巴西圣保罗和法国巴黎）的城市结构中进行检验。最后,将该指数与其他测度传统空间集聚指数如全局和局部Moran指数及密度梯度估计进行对比.     

Is there a Direct Pro-Judah Polemic in Judges?

In recent years, there seems to be a general consensus that in its current canonical form, the book of Judges is redacted out of a pro-Judah bias that seeks to glorify the tribe of David at the expense of the other tribes. Approaching the issue from a literary/rhetorical perspective, this article seeks to challenge this consensus by re-examining the evidence for an alleged direct pro-Judah polemic in Judges. It is argued that in each case where an instance of direct pro-Judah polemic is alleged to have been found, either Judah is discovered not to be portrayed as positively as initially thought, or its positive portrayal can be explained more credibly by factors other than a pro-Judah polemic.     

Iron Age iron files from England

There are more than 40 iron files known from the pre-Roman Iron Age in England, of which 26 come from settlements with evidence of manufacturing activities. The files vary considerably in size and form. The coarse-cut files were probably intended for working soft or fibrous materials such as wood or horn, whereas the finer-cut files were probably for working more compact or harder materials, including metals. This corresponds to the metallographic evidence from a sample of 17 files, of which only seven finer-cut ones have been found to be quench-hardened. The discovery of metal particles in five files provides further evidence of use.