Diasporic Agents and Trans-Asian Flows in the Making of Asian Modernity: The Case of Thailand

How do our everyday actions shape and transform the world economy? This volume of original essays argues that current scholarship in international political economy (IPE) is too highly focused on powerful states and large international institutions. The contributors examine specific forms of â everyday' actions to demonstrate how small-scale actors and their decisions can shape the global economy. They analyse a range of seemingly ordinary or subordinate actors, including peasants, working classes and trade unions, lower-middle and middle classes, female migrant labourers and Eastern diasporas, and examine how they have agency in transforming their political and economic environments. This book offers a novel way of thinking about everyday forms of change across a range of topical issues including globalisation, international finance, trade, taxation, consumerism, labour rights and regimes. It will appeal to students and scholars of politics, international relations, political economy and sociology.

The effect of differences in methodology among some recent applications of shearing quotients.

A shearing quotient (SQ) is a way of quantitatively representing the Phase I shearing edges on a molar tooth. Ordinary or phylogenetic least squares regression is fit to data on log molar length (independent variable) and log sum of measured shearing crests (dependent variable). The derived linear equation is used to generate an 'expected' shearing crest length from molar length of included individuals or taxa. Following conversion of all variables to real space, the expected value is subtracted from the observed value for each individual or taxon. The result is then divided by the expected value and multiplied by 100. SQs have long been the metric of choice for assessing dietary adaptations in fossil primates. Not all studies using SQ have used the same tooth position or crests, nor have all computed regression equations using the same approach. Here we focus on re-analyzing the data of one recent study to investigate the magnitude of effects of variation in 1) shearing crest inclusion, and 2) details of the regression setup. We assess the significance of these effects by the degree to which they improve or degrade the association between computed SQs and diet categories. Though altering regression parameters for SQ calculation has a visible effect on plots, numerous iterations of statistical analyses vary surprisingly little in the success of the resulting variables for assigning taxa to dietary preference. This is promising for the comparability of patterns (if not casewise values) in SQ between studies. We suggest that differences in apparent dietary fidelity of recent studies are attributable principally to tooth position examined.