Calling for resistance: The political economy of Indian and Canadian call centre industries

Call centres have in the last three decades come to define the interaction between corporations, governments, and other institutions and their respective customers, citizens, and members. From telemarketing to tele-health services, to credit card assistance, and even emergency response systems, call centres function as a nexus mediating technologically enabled labour practices with the commodification of services. Because of the ubiquitous nature of the call centre in post-industrial capitalism, the banality of these interactions often overshadows the nature of work and labour in this now-global sector. Advances in telecommunication technologies and the globalization of management practices designed to oversee and maintain standardized labour processes have made call centre work an international phenomenon. Simultaneously, these developments have dislocated assumptions about the geographic and spatial seat of work in what is defined here as the new international division of knowledge labour. The offshoring and outsourcing of call centre employment, part of the larger information technology and information technology enabled services sectors, has become a growing practice amongst governments and corporations in their attempts at controlling costs. Leading offshore destinations for call centre work, such as Canada and India, emerged as prominent locations for call centre work for these reasons. While incredible advances in technology have permitted the use of distant and “offshore” labour forces, the grander reshaping of an international political economy of communications has allowed for the acceleration of these processes. New and established labour unions have responded to these changes in the global regimes of work by seeking to organize call centre workers. These efforts have been assisted by a range of forces, not least of which is the condition of work itself, but also attempts by global union federations to build a bridge between international unionism and local organizing campaigns in the Global South and Global North. Through an examination of trade union interventions in the call centre industries located in Canada and India, this dissertation contributes to research on post-industrial employment by using political economy as a juncture between development studies, critical communications, and labour studies.

Introduction to Domain-Driven Data Mining Special Section

In the last decade, data mining has emerged as one of the most dynamic and lively areas in information technology. Although many algorithms and techniques for data mining have been proposed, they either focus on domain independent techniques or on very specific domain problems. A general requirement in bridging the gap between academia and business is to cater to general domain-related issues surrounding real-life applications, such as constraints, organizational factors, domain expert knowledge, domain adaption, and operational knowledge. Unfortunately, these either have not been addressed, or have not been sufficiently addressed, in current data mining research and development.Domain-Driven Data Mining (D3M) aims to develop general principles, methodologies, and techniques for modeling and merging comprehensive domain-related factors and synthesized ubiquitous intelligence surrounding problem domains with the data mining process, and discovering knowledge to support business decision-making. This paper aims to report original, cutting-edge, and state-of-the-art progress in D3M. It covers theoretical and applied contributions aiming to: 1) propose next-generation data mining frameworks and processes for actionable knowledge discovery, 2) investigate effective (automated, human and machine-centered and/or human-machined-co-operated) principles and approaches for acquiring, representing, modelling, and engaging ubiquitous intelligence in real-world data mining, and 3) develop workable and operational systems balancing technical significance and applications concerns, and converting and delivering actionable knowledge into operational applications rules to seamlessly engage application processes and systems.

Scale of production and choice of technique in the engineering industries in developing countries

This article examines the relationship between scale of production, optimal choice of technique and costs for three engineering industries: nuts and bolts, iron founding and machine tools. In all three industries costs of production fell as the scale of output increased. This was associated with switches of technique and the spread of fixed costs over a larger number of units. The capital-output ratio fell and labour productivity increased with increases in scale while, in most cases, the capital-labour ratio increased. The implications of these findings are briefly discussed.

Data mining approach identifies research priorities and data requirements for resolving the red algal tree of life

Background. The assembly of the tree of life has seen significant progress in recent years but algae and protists have been largely overlooked in this effort. Many groups of algae and protists have ancient roots and it is unclear how much data will be required to resolve their phylogenetic relationships for incorporation in the tree of life. The red algae, a group of primary photosynthetic eukaryotes of more than a billion years old, provide the earliest fossil evidence for eukaryotic multicellularity and sexual reproduction. Despite this evolutionary significance, their phylogenetic relationships are understudied. This study aims to infer a comprehensive red algal tree of life at the family level from a supermatrix containing data mined from GenBank. We aim to locate remaining regions of low support in the topology, evaluate their causes and estimate the amount of data required to resolve them. Results. Phylogenetic analysis of a supermatrix of 14 loci and 98 red algal families yielded the most complete red algal tree of life to date. Visualization of statistical support showed the presence of five poorly supported regions. Causes for low support were identified with statistics about the age of the region, data availability and node density, showing that poor support has different origins in different parts of the tree. Parametric simulation experiments yielded optimistic estimates of how much data will be needed to resolve the poorly supported regions (ca. 103 to ca. 104 nucleotides for the different regions). Nonparametric simulations gave a markedly more pessimistic image, some regions requiring more than 2.8 105 nucleotides or not achieving the desired level of support at all. The discrepancies between parametric and nonparametric simulations are discussed in light of our dataset and known attributes of both approaches. Conclusions. Our study takes the red algae one step closer to meaningful inclusion in the tree of life. In addition to the recovery of stable relationships, the recognition of five regions in need of further study is a significant outcome of this work. Based on our analyses of current availability and future requirements of data, we make clear recommendations for forthcoming research.