234 research outputs found

    Toward a client-centered benchmark for self-sufficiency: Evaluating the ‘process’ of becoming job ready.

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    The purpose of this study is to evaluate how service providers, clients, and graduates of a job training program define the term self-sufficiency (SS). This community-engaged, mixed method study qualitatively analyzes focus group data from each group and quantitatively examines survey data obtained from participants of the program. Findings reveal that psychological transformation as a ‘process’ represents the emic definition of SS—psychological SS—but each dimension of the concept is reflected in varying degrees by group. Provider and participant views are vastly different from the outcome-driven policy and funder definitions. Implications for benchmarking psychological SS as an empowerment-based ‘process’ measure of job readiness in workforce development evaluation are discussed

    States and the political economy of unfree labour

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    A growing body of academic and policy research seeks to understand and address the problem of contemporary unfree labour. In this article, we argue that this literature could be strengthened by a stronger conceptualization of, and more systematic attention towards, the role of national states. In particular, we argue that there is a need to move beyond simplistic conceptualisations of states as simple agents of regulation and criminal justice enforcement who respond to the problem of unfree labour, and to recognize the causal and multifaceted role that national states play in creating the conditions in which unfree labour can flourish. We propose a framework to understand and compare the ways in which national states shape the political economy of unfree labour. Focusing on the United States, we outline three arenas of governance in which national states have been particularly central to enabling the conditions for unfree labour: the regulation of labour mobility, labour market regulation, and business regulation. We conclude by reflecting on the comparative political economy research that will be required to understand the role of different states in shaping the conditions in which unfree labour thrives or is eliminated

    Influence of birth cohort on age of onset cluster analysis in bipolar I disorder

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    PURPOSE: Two common approaches to identify subgroups of patients with bipolar disorder are clustering methodology (mixture analysis) based on the age of onset, and a birth cohort analysis. This study investigates if a birth cohort effect will influence the results of clustering on the age of onset, using a large, international database. METHODS: The database includes 4037 patients with a diagnosis of bipolar I disorder, previously collected at 36 collection sites in 23 countries. Generalized estimating equations (GEE) were used to adjust the data for country median age, and in some models, birth cohort. Model-based clustering (mixture analysis) was then performed on the age of onset data using the residuals. Clinical variables in subgroups were compared. RESULTS: There was a strong birth cohort effect. Without adjusting for the birth cohort, three subgroups were found by clustering. After adjusting for the birth cohort or when considering only those born after 1959, two subgroups were found. With results of either two or three subgroups, the youngest subgroup was more likely to have a family history of mood disorders and a first episode with depressed polarity. However, without adjusting for birth cohort (three subgroups), family history and polarity of the first episode could not be distinguished between the middle and oldest subgroups. CONCLUSION: These results using international data confirm prior findings using single country data, that there are subgroups of bipolar I disorder based on the age of onset, and that there is a birth cohort effect. Including the birth cohort adjustment altered the number and characteristics of subgroups detected when clustering by age of onset. Further investigation is needed to determine if combining both approaches will identify subgroups that are more useful for research

    The Invariance Hypothesis Implies Domain-Specific Regions in Visual Cortex

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    Is visual cortex made up of general-purpose information processing machinery, or does it consist of a collection of specialized modules? If prior knowledge, acquired from learning a set of objects is only transferable to new objects that share properties with the old, then the recognition system’s optimal organization must be one containing specialized modules for different object classes. Our analysis starts from a premise we call the invariance hypothesis: that the computational goal of the ventral stream is to compute an invariant-to-transformations and discriminative signature for recognition. The key condition enabling approximate transfer of invariance without sacrificing discriminability turns out to be that the learned and novel objects transform similarly. This implies that the optimal recognition system must contain subsystems trained only with data from similarly-transforming objects and suggests a novel interpretation of domain-specific regions like the fusiform face area (FFA). Furthermore, we can define an index of transformation-compatibility, computable from videos, that can be combined with information about the statistics of natural vision to yield predictions for which object categories ought to have domain-specific regions in agreement with the available data. The result is a unifying account linking the large literature on view-based recognition with the wealth of experimental evidence concerning domain-specific regions.National Science Foundation (U.S.). Science and Technology Center (Award CCF-1231216)National Science Foundation (U.S.) (Grant NSF-0640097)National Science Foundation (U.S.) (Grant NSF-0827427)United States. Air Force Office of Scientific Research (Grant FA8650-05-C-7262)Eugene McDermott Foundatio

    The Human Side of Skills and Knowledge

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    YesThe goal of decent work is best expressed through the eyes of people. It is about your job and future prospects; about your working conditions; about balancing work and family life, putting your kids through school or getting them out of child labour. It is about gender equality, equal recognition, and enabling women to make choices and take control of their lives. It is about personal abilities to compete in the market place, keep up with new technological skills and remain healthy. It is about developing your entrepreneurial skills, about receiving a fair share of wealth that you have helped to create and not being discriminated against; it is about having a voice in your workplace and your community . . . . For everybody, decent work is about securing human dignity (ILO 2001:7 - 8 cited in Green 2006:19 - 20)

    A neural signature of the unique hues

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    Since at least the 17th century there has been the idea that there are four simple and perceptually pure “unique” hues: red, yellow, green, and blue, and that all other hues are perceived as mixtures of these four hues. However, sustained scientific investigation has not yet provided solid evidence for a neural representation that separates the unique hues from other colors. We measured event-related potentials elicited from unique hues and the ‘intermediate’ hues in between them. We find a neural signature of the unique hues 230 ms after stimulus onset at a post-perceptual stage of visual processing. Specifically, the posterior P2 component over the parieto-occipital lobe peaked significantly earlier for the unique than for the intermediate hues (Z = -2.9, p = .004). Having identified a neural marker for unique hues, fundamental questions about the contribution of neural hardwiring, language and environment to the unique hues can now be addressed
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