865 resultados para Diamond, Jared: Collapse. How Societies Choose to Fail or Succeed
Resumo:
The main objective is to get participants thinking about how they can solve problems associated with a dual submission of ETDs. Many institutions choose to archive ETDs in their repositories, but also mandate, insist, or permit ETDs to be submitted to ProQuest via the UMI ETD Administrator. The Administrator offers a no-submission-fee route for ETD inclusion in ProQuest’s ubiquitous subscription databases. At FIU, after deciding on a mandatory ETD Policy in July 2011, we considered moving from a payment/snail mail submission to altogether scrapping submission to ProQuest; however, our librarians made a case for keeping at least an option for ProQuest submission. After consideration of all the options, implementing the UMI ETD Administrator seemed the most logical because it relieves payment, paperwork, and snail mail. Unfortunately, the UMI ETD Administrator creates as many problems as it solves e.g., the dual submission. According to the Berkman Center’s Good Practices for University Open-Access Policies, the university should offer to make additional deposits outside of the institutional repository. Thus, we sought to find a way for the students to only submit once to our DigitalCommons Institutional Repository. By June 2012, we manually triaged our first batch of ETDs from our DigitalCommons to the UMI ETD Administrator; however, since that first batch we have identified problems with metadata submission, entering student information, and the ETD Administrator default setup. For instance, with our second batch, we eliminated discrepancies with the department field; in our third batch, we eliminated concerns with FERPA and submitting student information; in our fourth batch, we look to cut down the time of each manual submission. Attendees, with institutions considering the ETD Administrator, should expect to anticipate and solve several issues associated with implementing the system in conjunction with an institutional repository. Attendees, who work with both the ETD Administrator and an Institutional Repository, should expect to gain new ideas for eliminating a dual submission for students, a quicker publication turn around, and/or decreased workflow time.
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China's emergence as an economic powerhouse has often been portrayed as threatening to America's economic strength and to its very identity as "the global hegemon." The media's alarmist response to an economic competitor is familiar to those who remember US-Japanese relations in the 1980s. In order to better understand the basis of American threat perception, this study explores the independent and interactive impact of three variables (perceptions of the Other's capabilities, perceptions of the Other as a threat versus as an opportunity, and perceptions of the Other's political culture) on attitudes toward two different economic competitors (Japan 1977-1995 and China 1985-2011). Utilizing four methods (historical process tracing, public polling data analysis, social scientific experimentation, and content analysis), this study demonstrates that increases in the Other's economic capabilities have a much smaller impact on attitudes than is commonly believed. It further shows that while perceptions of threat/opportunity played a significant role in shaping attitudinal response toward Japan, perceptions of political culture are the most important factor driving attitudes toward China today. This study contributes to a better understanding of how states react to threats and construct negative images of their economic rivals. It also helps to explain the current Sino-American relationship and enables better predictions as to its potential future course. Finally, these findings contribute to cultural explanations of the democratic peace phenomenon and provide a boundary condition (political culture) for the liberal proposition that opportunity ameliorates conflict in the economic realm.^
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A major area of research in the realm of Industrial/Organizational Psychology is the exploration of specific job performance behaviors such as organizational citizenship behaviors (OCBs). However, there is a dearth of research examining how peers react to OCBs and the performers of such behaviors. Bolino noted that determining how people attribute motives to these OCBs is an important yet unanswered question in industrial/organizational psychology. The present study attempted to provide insight on what observer (or rater) traits affect the motives attributed to organizational citizenship behaviors. In particular, the effects of personality traits such as the Big Five personality factors, self-monitoring, individualism-collectivism, negative affectivity and identity factors such as cultural mistrust, ethnic orientation, and perceived similarity were examined. A within-subjects survey design was used to collect data on six hypothetical organizational citizenship behaviors from a sample of 369 participants. The gender and ethnicity of the individuals performing the hypothetical organizational citizenship behaviors were manipulated (i.e., male or female; African-American, Hispanic, or White). Results indicated that both similarity (t(368)=5.13; p .01) and personality factors (R2 =.06 for genuine motives and R2 = .05 for self-serving motives) had an effect on which motive (genuine or self-serving) was attributed to organizational citizenship behaviors. Support was found for an interaction between similarity and the observer's personality trait of conscientiousness when attributing genuine motives to organizational citizenship behaviors. Finally, specific organizational citizenship behaviors such as altruism were linked to genuine motives while OCBs like conscientiousness, sportsmanship, and civic virtue were associated with self-serving motives.
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This thesis investigates the potential legal utility of neurotechnologies which measure correlates of impulsive behaviors. Chapter 1 explains my philosophical position and how this position compares to others in the field. Chapter 2 explores some of the technical concepts which must be understood for the discussion of neurotechnologies and their applications to be fruitful. These chapters will be important for both explaining the capabilities of a neuroscientific approach to neural abnormalities as well as how they relate to the kind of regulation in which the law is engaged. The purpose of Chapter 3 will be a descriptive account of Canadian law where I will begin to explore how to apply ideas and experiments from neuroscience to specific areas of law. Chapter 3 will look at actual examples of Canadian criminal law and will span topics from the creation of law to the construction of appropriate sentences. Chapter 4 will debate if and how we should apply the neuroscientific perspective to the law given the ethical concerns surrounding the applications described in Chapter 3. The thrust of the chapter is that the development of the law does not occur in a vacuum and any alteration either to the laws themselves, how they are interpreted, or the technologies used to provide evidence, must have an ethical justification, that is, a way in which the proposed change will better meet the needs of society and the ethical objectives of the law. Sometimes these justifications can be drawn directly from constitutional documents, such as the Charter, or from the Criminal Code, while at other times these justifications depend upon arguments about furthering meaningful responsibility and therapeutic outcomes.
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There is persistent interest in understanding responses of passerine birds to habitat fragmentation, but research findings have been inconsistent and sometimes contradictory in conclusions about how birds respond to characteristics of sites they occupy, such as habitat patch size or edge density. We examined whether these inconsistencies could result from differences in the amount of habitat in the surrounding landscape, e.g., for woodland birds, the amount of tree cover in the surrounding landscape. We compared responses of 22 woodland bird species to proximate-scale tree cover in open landscapes versus wooded landscapes. Our main expectation was that woodland birds would tolerate less suitable sites (less tree cover at the site scale) in open environments where they had little choice–where little tree cover was available in the surrounding area. We compared responses using logistic regression coefficients and loess plots in open and wooded landscapes in eastern North Dakota, USA. Responses to proximate-scale tree cover were stronger, not weaker, as expected, in open landscapes. In some cases the sign of the response changed from positive to negative in contrasting landscapes. We draw two conclusions: First, observed responses to proximate habitat measures such as habitat extent or edge density cannot be interpreted reliably unless landscape context is specified. Second, birds appear more selective, not less so, where habitat is sparse. Habitat loss and fragmentation at the landscape scale are likely to reduce the usefulness of local habitat conservation, and regional drivers in land-use change can have important effects for site-scale habitat use.
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This dissertation extends the empirical industrial organization literature with two essays on strategic decisions of firms in imperfectly competitive markets and one essay on how inertia in consumer choice can result in significant welfare losses. Using data from the airline industry I study a well-known puzzle in the literature whereby incumbent firms decrease fares when Southwest Airlines emerges as a potential entrant, but is not (yet) competing directly. In the first essay I describe this so-called Southwest Effect and use reduced-form analysis to offer possible explanations for why firms may choose to forgo profits today rather than wait until Southwest operates the route. The analysis suggests that incumbent firms are attempting to signal to Southwest that entry is unprofitable so as to deter its entry. The second essay develops this theme by extending a classic model from the IO literature, limit pricing, to a dynamic setting. Calibrations indicate the price cuts observed in the data can be captured by a dynamic limit pricing model. The third essay looks at another concentrated industry, mobile telecoms, and studies how inertia in choice (be it inattention or switching costs) can lead to consumers being on poorly matched cellphone plans and how a simple policy proposal can have a considerable effect on welfare.
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At least since the seminal works of Jacob Mincer, labor economists have sought to understand how students make higher education investment decisions. Mincer’s original work seeks to understand how students decide how much education to accrue; subsequent work by various authors seeks to understand how students choose where to attend college, what field to major in, and whether to drop out of college.
Broadly speaking, this rich sub-field of literature contributes to society in two ways: First, it provides a better understanding of important social behaviors. Second, it helps policymakers anticipate the responses of students when evaluating various policy reforms.
While research on the higher education investment decisions of students has had an enormous impact on our understanding of society and has shaped countless education policies, students are only one interested party in the higher education landscape. In the jargon of economists, students represent only the `demand side’ of higher education---customers who are choosing options from a set of available alternatives. Opposite students are instructors and administrators who represent the `supply side’ of higher education---those who decide which options are available to students.
For similar reasons, it is also important to understand how individuals on the supply side of education make decisions: First, this provides a deeper understanding of the behaviors of important social institutions. Second, it helps policymakers anticipate the responses of instructors and administrators when evaluating various reforms. However, while there is substantial literature understanding decisions made on the demand side of education, there is far less attention paid to decisions on the supply side of education.
This dissertation uses empirical evidence to better understand how instructors and administrators make decisions and the implications of these decisions for students.
In the first chapter, I use data from Duke University and a Bayesian model of correlated learning to measure the signal quality of grades across academic fields. The correlated feature of the model allows grades in one academic field to signal ability in all other fields allowing me to measure both ‘own category' signal quality and ‘spillover' signal quality. Estimates reveal a clear division between information rich Science, Engineering, and Economics grades and less informative Humanities and Social Science grades. In many specifications, information spillovers are so powerful that precise Science, Engineering, and Economics grades are more informative about Humanities and Social Science abilities than Humanities and Social Science grades. This suggests students who take engineering courses during their Freshman year make more informed specialization decisions later in college.
In the second chapter, I use data from the University of Central Arkansas to understand how universities decide which courses to offer and how much to spend on instructors for these courses. Course offerings and instructor characteristics directly affect the courses students choose and the value they receive from these choices. This chapter reveals the university preferences over these student outcomes which best explain observed course offerings and instructors. This allows me to assess whether university incentives are aligned with students, to determine what alternative university choices would be preferred by students, and to illustrate how a revenue neutral tax/subsidy policy can induce a university to make these student-best decisions.
In the third chapter, co-authored with Thomas Ahn, Peter Arcidiacono, and Amy Hopson, we use data from the University of Kentucky to understand how instructors choose grading policies. In this chapter, we estimate an equilibrium model in which instructors choose grading policies and students choose courses and study effort given grading policies. In this model, instructors set both a grading intercept and a return on ability and effort. This builds a rich link between the grading policy decisions of instructors and the course choices of students. We use estimates of this model to infer what preference parameters best explain why instructors chose estimated grading policies. To illustrate the importance of these supply side decisions, we show changing grading policies can substantially reduce the gender gap in STEM enrollment.
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This study explores patients’ needs in rural Thanjavur, southern India through understanding how people with diabetes choose providers and perceive care-seeking experience. To measure perception, the study surveyed people regarding six common barriers to care-seeking behavior, selected from both literature and local expert interview. Ninety-one percent of the sampled population goes to public or private allopathic providers out of the six presented providers. The low socioeconomic group and people with more complications or comorbidities are more likely to go to private allopathic providers. What is more, there is no difference between public and private allopathic providers in patients’ perception of care except for perceived cost. Positive perceptions in both providers are very common except for perceptions in blood-sugar management, distance to facilities, and cost of care. Sixty-six percent of patients perceived their blood-sugar control to fluctuate or have no change versus improved control. Twenty-seven percent of patients perceived the distance to facilities as unreasonable, and sixty-two percent of patients perceived the cost as high for them. The results suggest that cost may affect low socioeconomic people’s choice of care significantly. However, for people in middle and higher socioeconomic groups, cost does not appear to be a major factor. For qualitative text analyses, physician’s behavior and reputation emerge as themes, which require further studies.
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Forests change with changes in their environment based on the physiological responses of individual trees. These short-term reactions have cumulative impacts on long-term demographic performance. For a tree in a forest community, success depends on biomass growth to capture above- and belowground resources and reproductive output to establish future generations. Here we examine aspects of how forests respond to changes in moisture and light availability and how these responses are related to tree demography and physiology.
First we address the long-term pattern of tree decline before death and its connection with drought. Increasing drought stress and chronic morbidity could have pervasive impacts on forest composition in many regions. We use long-term, whole-stand inventory data from southeastern U.S. forests to show that trees exposed to drought experience multiyear declines in growth prior to mortality. Following a severe, multiyear drought, 72% of trees that did not recover their pre-drought growth rates died within 10 years. This pattern was mediated by local moisture availability. As an index of morbidity prior to death, we calculated the difference in cumulative growth after drought relative to surviving conspecifics. The strength of drought-induced morbidity varied among species and was correlated with species drought tolerance.
Next, we investigate differences among tree species in reproductive output relative to biomass growth with changes in light availability. Previous studies reach conflicting conclusions about the constraints on reproductive allocation relative to growth and how they vary through time, across species, and between environments. We test the hypothesis that canopy exposure to light, a critical resource, limits reproductive allocation by comparing long-term relationships between reproduction and growth for trees from 21 species in forests throughout the southeastern U.S. We found that species had divergent responses to light availability, with shade-intolerant species experiencing an alleviation of trade-offs between growth and reproduction at high light. Shade-tolerant species showed no changes in reproductive output across light environments.
Given that the above patterns depend on the maintenance of transpiration, we next developed an approach for predicting whole-tree water use from sap flux observations. Accurately scaling these observations to tree- or stand-levels requires accounting for variation in sap flux between wood types and with depth into the tree. We compared different models with sap flux data to test the hypotheses that radial sap flux profiles differ by wood type and tree size. We show that radial variation in sap flux is dependent on wood type but independent of tree size for a range of temperate trees. The best-fitting model predicted out-of-sample sap flux observations and independent estimates of sapwood area with small errors, suggesting robustness in new settings. We outline a method for predicting whole-tree water use with this model and include computer code for simple implementation in other studies.
Finally, we estimated tree water balances during drought with a statistical time-series analysis. Moisture limitation in forest stands comes predominantly from water use by the trees themselves, a drought-stand feedback. We show that drought impacts on tree fitness and forest composition can be predicted by tracking the moisture reservoir available to each tree in a mass balance. We apply this model to multiple seasonal droughts in a temperate forest with measurements of tree water use to demonstrate how species and size differences modulate moisture availability across landscapes. As trees deplete their soil moisture reservoir during droughts, a transpiration deficit develops, leading to reduced biomass growth and reproductive output.
This dissertation draws connections between the physiological condition of individual trees and their behavior in crowded, diverse, and continually-changing forest stands. The analyses take advantage of growing data sets on both the physiology and demography of trees as well as novel statistical techniques that allow us to link these observations to realistic quantitative models. The results can be used to scale up tree measurements to entire stands and address questions about the future composition of forests and the land’s balance of water and carbon.
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How should educators respond to the whole phenomenon of ‘digital learning’? This question has been in vogue for the past twenty years or more and there is a need for a regular renewal of this question as societies change. This article will draw on some post-structuralist writing, particularly Deleuze and Guattari, to try to understand better the divide between the optimistic account and the pessimistic account of the effect of ICT on teaching and learning. It argues in particular 1) that ICT in its current form signals a paradigm shift in education—but this thesis is difficult either to prove or disprove; 2) that Deleuze and Guattari’s rhizome provides us with a theoretical tool for understanding the pedagogical nature of this shift; 3) that this change is wider than literacy itself and announces posthuman elements in the socio-cultural environment of learning.
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The aim of this dissertation is to examine, model and estimate firm responses to
demand shocks by focusing on specific industries where demand shocks are well
identified. Combining reduced-form evidence and structural analysis, this dissertation
extends the economic literature by focusing on within-firm responses of firms
to two important demand shocks that are identifiable in empirical settings. First,
I focus on how firms respond to a decrease in effective demand due to competition
shocks coming from globalization. By considering China's accession to the World
Trade Organization in 2001 and its impact on the apparel industry, the aim of these
chapters is to answer how firms react to the increase in Chinese import competition,
what is the mechanism behind these responses, and how important they are in explaining
the survival of the Peruvian apparel industry. Second, I study how suppliers'
survival probability relates to the sudden disruption of their main customer-supplier
relationships with downstream manufacturers, conditional on suppliers' own idiosyncratic
characteristics such as physical productivity.
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Blogging has been associated with the Library and Information Science (LIS) community for some time now. Libfocus.com is an online blog that was founded in 2011. Its goal was to create a communal communication space for LIS professionals in Ireland and beyond, to share and discuss issues and ideas. The content of the blog is curated by an editorial team, and features guest bloggers from across all sectors and experience levels. Using a qualitative methodological approach, open-ended surveys were conducted with twelve previous guest bloggers, in order to explore how and why Irish-based LIS professionals choose to communicate through blogging. It is hoped that this evidence will provide a greater understanding of both the value and effectiveness of blogging as an outreach and communication tool within the profession, helping both libraries and librarians to be more strategic in their use of it as a medium.
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The purpose of this thesis was to examine how liberalization and the introduction of pro-poor policies can be successful in post-conflict countries using the Rwanda coffee market as a case study. My research supports the notion that economic development, political stability and peace can be a result of liberalization when policies that are pro-poor and focus on the largest sector of the population are created. The study examines why and how Rwanda chose to liberalize their economy in the way they did by focusing on the intentions of the actors and the effects their actions have had on the coffee market and country as a whole. The findings suggest that Rwanda’s coffee market liberalization has been successful and has contributed to stability and economic development in Rwanda. The conclusion indicates that pro-poor liberalization policies with the assistance from a variety of actors and institutions can lead developing countries on the path to development in ways the international community has not seen before.
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All teachers participate in self-directed professional development (PD) at some point in their careers; however, the degree to which this participation takes place varies greatly from teacher to teacher and is influenced by the leadership of the school principal. The motivation behind why teachers choose to engage in PD is an important construct. Therefore, there is a need for better understanding of the leader’s role with respect to how and why teachers engage in self-directed professional development. The purpose of the research was to explore the elementary teachers’ motivation for and the school principal’s influence on their engagement in self-directed professional development. Three research questions guided this study: 1. What motivates teachers to engage in self-directed professional development? 2. What are the conditions necessary for promoting teachers’ engagement in self-directed professional development? 3. What are teachers’ perceptions of the principal’s role in supporting, fostering, encouraging, and sustaining the professional development of teachers? A qualitative research approach was adopted for this study. Six elementary teachers from one south-eastern Ontario school board, consisting of three novice and three more experienced teachers, provided their responses to a consistent complement of 14 questions. Their responses were documented via individual interviews, transcribed verbatim, and thematically analysed. The findings suggested that, coupled with the individual motivating influences, the culture of the school was found to be a conditional dynamic that either stimulated or dissuaded participation in self-directed PD. The school principal provided an additional catalyst or deterrence via relational disposition. When teachers felt their needs for competency, relatedness, and autonomy were satisfied, the conditions necessary to motivate teachers to engage in PD were fulfilled. A principal who personified the tenets of transformational leadership served to facilitate teachers’ inclinations to take on PD. A leadership style that was collaborative and trustful and allowed for personal autonomy was a dominant foundational piece that was critical for participant participation in self-directed PD. Finally, the principals were found to positively impact school climate by partaking in PD alongside teachers and ensuring there was a shared vision of the school so that teachers could tailor PD to parallel school interests.
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The emerging technologies have expanded a new dimension of self – ‘technoself’ driven by socio-technical innovations and taken an important step forward in pervasive learning. Technology Enhanced Learning (TEL) research has increasingly focused on emergent technologies such as Augmented Reality (AR) for augmented learning, mobile learning, and game-based learning in order to improve self-motivation and self-engagement of the learners in enriched multimodal learning environments. These researches take advantage of technological innovations in hardware and software across different platforms and devices including tablets, phoneblets and even game consoles and their increasing popularity for pervasive learning with the significant development of personalization processes which place the student at the center of the learning process. In particular, augmented reality (AR) research has matured to a level to facilitate augmented learning, which is defined as an on-demand learning technique where the learning environment adapts to the needs and inputs from learners. In this paper we firstly study the role of Technology Acceptance Model (TAM) which is one of the most influential theories applied in TEL on how learners come to accept and use a new technology. Then we present the design methodology of the technoself approach for pervasive learning and introduce technoself enhanced learning as a novel pedagogical model to improve student engagement by shaping personal learning focus and setting. Furthermore we describe the design and development of an AR-based interactive digital interpretation system for augmented learning and discuss key features. By incorporating mobiles, game simulation, voice recognition, and multimodal interaction through Augmented Reality, the learning contents can be geared toward learner's needs and learners can stimulate discovery and gain greater understanding. The system demonstrates that Augmented Reality can provide rich contextual learning environment and contents tailored for individuals. Augment learning via AR can bridge this gap between the theoretical learning and practical learning, and focus on how the real and virtual can be combined together to fulfill different learning objectives, requirements, and even environments. Finally, we validate and evaluate the AR-based technoself enhanced learning approach to enhancing the student motivation and engagement in the learning process through experimental learning practices. It shows that Augmented Reality is well aligned with constructive learning strategies, as learners can control their own learning and manipulate objects that are not real in augmented environment to derive and acquire understanding and knowledge in a broad diversity of learning practices including constructive activities and analytical activities.