8 resultados para Working Context

em QSpace: Queen's University - Canada


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This research explores whether civil society organizations (CSOs) can contribute to more effectively regulating the working conditions of temporary migrant farmworkers in North America. This dissertation unfolds in five parts. The first part of the dissertation sets out the background context. The context includes the political economy of agriculture and temporary migrant labour more broadly. It also includes the political economy of the legal regulations that govern immigration and work relations. The second part of the research builds an analytical model for studying the operation of CSOs active in working with the migrant farmworker population. The purpose of the analytical framework is to make sense of real-world examples by providing categories for analysis and a means to get at the channels of influence that CSOs utilize to achieve their aims. To this end, the model incorporates the insights from three significant bodies of literature—regulatory studies, labour studies, and economic sociology. The third part of the dissertation suggests some key strategic issues that CSOs should consider when intervening to assist migrant farmworkers, and also proposes a series of hypotheses about how CSOs can participate in the regulatory process. The fourth part probes and extends these hypotheses by empirically investigating the operation of three CSOs that are currently active in assisting migrant farm workers in North America: the Agricultural Workers Alliance (Canada), Global Workers’ Justice Alliance (USA), and the Coalition of Immokalee Workers (USA). The fifth and final part draws together lessons from the empirical work and concluded that CSOs can fill gaps left by the waning power of actors, such as trade unions and labour inspectorates, as well as act in ways that these traditional actors can not.

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The presentation made at the conference addressed the issue of linkages between performance information and innovation within the Canadian federal government1. This is a three‐part paper prepared as background to that presentation. • Part I provides an overview of three main sources of performance information - results-based systems, program evaluation, and centrally driven review exercises – and reviews the Canadian experience with them. • Part II identifies and discusses a number of innovation issues that are common to the literature reviewed for this paper. • Part III examines actual and potential linkages between innovation and performance information. This section suggests that innovation in the Canadian federal government tends to cluster into two groups: smaller initiatives driven by staff or middle management; and much larger projects involving major programs, whole departments or whole-of-government. Readily available data on smaller innovation projects is skimpy but suggests that performance information does not play a major role in stimulating these initiatives. In contrast, two of the examples of large-scale innovation show that performance information plays a critical role at all stages. The paper concludes by supporting the contention of others writing on this topic: that more research is needed on innovation, particularly on its link to performance information. In that context, other conclusions drawn in this paper are tentative but suggest that the quality of performance information is as important for innovation as it is for performance management. However, innovation is likely to require its own particular performance information that may not be generated on a routine basis for purposes of performance management, particularly in the early stages of innovation. And, while the availability of performance information can be an important success factor in innovation, it does not stand alone. The commonality of a number of other factors identified in the literature surveyed for this paper strongly suggests that equal if not greater priority needs to be given to attenuating factors that inhibit innovation and to nurturing incentives.

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This paper considers the analysis of data from randomized trials which offer a sequence of interventions and suffer from a variety of problems in implementation. In experiments that provide treatment in multiple periods (T>1), subjects have up to 2^{T}-1 counterfactual outcomes to be estimated to determine the full sequence of causal effects from the study. Traditional program evaluation and non-experimental estimators are unable to recover parameters of interest to policy makers in this setting, particularly if there is non-ignorable attrition. We examine these issues in the context of Tennessee's highly influential randomized class size study, Project STAR. We demonstrate how a researcher can estimate the full sequence of dynamic treatment effects using a sequential difference in difference strategy that accounts for attrition due to observables using inverse probability weighting M-estimators. These estimates allow us to recover the structural parameters of the small class effects in the underlying education production function and construct dynamic average treatment effects. We present a complete and different picture of the effectiveness of reduced class size and find that accounting for both attrition due to observables and selection due to unobservable is crucial and necessary with data from Project STAR

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One can view the period since 1970 as one in which the authorities struggled to establish appropriate medium-term anchors for both monetary and fiscal policies. During this time, they learned about the appropriate interaction between those two policies in the context of economic stabilization and growth under a flexible exchange rate regime. This lecture deals with four interrelated topics: the appropriate goals for fiscal and monetary policy, building policy credibility, the appropriate stabilization role for the two policies, and policy cooperation. The transparent medium term frameworks that have been established by the authorities will be extremely helpful in meeting the challenges that the future is sure to bring. These frameworks mean that the required adjustments in the economy will take place against a relatively stable background. Thank you for the invitation to give the Gow Lecture for 2002. Donald Gow had a great interest in public administration and in budgetary reform in the federal government (Gow 1973). He was one in a long line of

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As the globalization of knowledge has taken hold over the past decade, and as governments around the world review their new roles in support of the production of knowledge, several factors have shaped the context in governments’ approach to public research. Arguably, none has been more affected by these pressures for reform than government scientific and technology laboratories or institutes. Often ignored in the re-shaping of national systems of innovation, these organizations play an important role in advancing national economic and social objectives. This paper, by reviewing examples of reforms underway in several countries, including Canada, France, Germany, the UK, Japan, USA and Latin America, will argue that government research and technology institutes — often historically surrogates for industrial research — are gradually re-defining their mandates to meet the new pressures of globalization as well as satisfying growing public demands for increased relevance and efficiency in responding to citizens’ and industry needs.

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This paper is a constructivist attempt to understand a global political space where states as actors (the traditional domain of international relations theory and international law) are joined by international organizations, firms, NGOs, and others. Today we know that many supposedly private or international orders (meaning sources of order other than the central institutions of the territorial state) are engaged in the regulation of large domains of collective life in a world where the sources of power are multiple, sovereignties are overlapping, and anarchy is meaningless. The paper begins with an attempt, discussed in the first section, to sort out what the rule of law might mean in the context of the WTO, where we soon see that it can only be understood by also considering the meaning of Administrative Law. Much of the debate about rule of law depends on positivist and centralist theories of “law,” whose inadequacy for my purposes leads, in the second section, to a discussion of legal pluralism and implicit law in legal theory. These approaches offer an alternative theoretical framework that respects the role of the state while not seeing it as the only source of normativity. The third section looks directly at WTO law and dispute settlement. I tr y to show that the sources and interpretations of law in the WTO and the trading system cannot be reduced to the Dispute Settlement Body. I conclude in the fourth section with some suggestions on how a WTO rule of law could be understood as democratic.

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While we know much about poverty (or “low income”) in Canada in a static context, our understanding of the underlying dynamics remains very limited. This is particularly problematic from a policy perspective and the country has been increasingly left out on an international level in this regard. The contribution of this paper is to report the results of an empirical analysis of low income (“poverty”) dynamics in Canada using the recently available “LAD” tax-based database. The paper first describes the general nature of individuals’ poverty profiles (how many are short-term versus longterm, etc.)., the breakdown of the poor population in any given year amongst these different types, and the characterisation of poverty profiles by sex and family type. It then reports the estimation of various econometric models, starting with a set which specifies entry into and exit from poverty in any given year as a function of a variety of personal attributes and situational characteristics, including family status and changes therein, province of residence, inter-provincial mobility, language, area size of residence and calendar year (to capture trend effects). A set of proper hazard models then adds duration effects to these specifications to see how exit and re-entry probabilities shift with the amount of time spent in a poverty spell or after having exited a previous spell. A final set of specifications then investigates “occurrence dependence” effects by including past poverty spells first in an entry model and then with respect to the probability of being poor in a given year. Policy implications are discussed.

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This study examines how one secondary school teacher’s use of purposeful oral mathematics language impacted her students’ language use and overall communication in written solutions while working with word problems in a grade nine academic mathematics class. Mathematics is often described as a distinct language. As with all languages, students must develop a sense for oral language before developing social practices such as listening, respecting others ideas, and writing. Effective writing is often seen by students that have strong oral language skills. Classroom observations, teacher and student interviews, and collected student work served as evidence to demonstrate the nature of both the teacher’s and the students’ use of oral mathematical language in the classroom, as well as the effect the discourse and language use had on students’ individual written solutions while working on word problems. Inductive coding for themes revealed that the teacher’s purposeful use of oral mathematical language had a positive impact on students’ written solutions. The teacher’s development of a mathematical discourse community created a space for the students to explore mathematical language and concepts that facilitated a deeper level of conceptual understanding of the learned material. The teacher’s oral language appeared to transfer into students written work albeit not with the same complexity of use of the teacher’s oral expression of the mathematical register. Students that learn mathematical language and concepts better appear to have a growth mindset, feel they have ownership over their learning, use reorganizational strategies, and help develop a discourse community.