961 research outputs found

    The Roles of Ethnicity and Language Acculturation in Determining the Interprovincial Migration Propensities in Canada: from the Late 1970s to the Late 1990s

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    The main purpose of this paper is to study the roles of ethnicity and language acculturation in determining the propensities to make interprovincial migration in Canada in 1976-81, 1981-86, and 1996-2001, based on the micro data of the 1981, 1986 and 2001 censuses. Since these propensities are also subject to the strong effects of other explanatory factors, a multivariate analysis using a binomial logit model is conducted. An important methodological contribution of this paper is the clarification of the interpretational mistakes in the previous multivariate analyses of Trovato and Halli (1983 and 1990) that depended on the widely used log linear models. Our empirical findings turn out to be substantively more sensible than the earlier findings in the literature. With respect to the less complicated case of non-French minority ethnic groups, the empirical data are found to be mostly supportive of the following two hypotheses. H1: The propensities to make inter-provincial migration are lower for minority ethnic groups than for the mainstream ethnic group. H2: The use of English as home language, which represents an important cultural shift towards the mainstream, increases the inter-provincial migration propensities of minority ethnic groups. The very strong support for these two hypotheses by the Italian ethnic group and the lack of support for H2 by the Jewish ethnic group are highlighted and explained. With respect to the more complicated case of the French ethnic group, our findings are supportive of the following two hypotheses. H3: Among those residing outside Quebec, the propensities to make inter-provincial migration are greater for the French ethnic group than for the mainstream ethnic group. H4: This difference is greater for the French ethnic group that continues to use French as the home language than for the French ethnic group that has shifted the home language to English. It is unfortunate that the support for H4, which could aggravate the spatial polarization of the French and Non-French populations between Quebec and the rest of Canada, became successively stronger towards the late 1990s. Fortunately, this trend was countered by a mild narrowing of the extremely wide gap in the propensities to leave Quebec between the English-speaking British and the French-speaking French.Interprovincial Migration, Ethnic Selectivity, Language Acculturation, Canada

    Issues and Trends in Collection Development for East Asian Legal Materials

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    The authors delineate the general policy and guidelines for developing foreign and transnational law collections in U.S. law libraries, and they analyze factors that shape East Asian collections, such as law libraries' preservation and digitization efforts and their related cost-efficiency, and the availability and quality of English translations. The authors then discuss the main sources for Korean, Japanese, and Chinese law

    Effects of Ethnicity and Language Acculturation on Interprovincial Migration Propensities in Canada: 1976-1981, 1981-1986 and 1996-2001

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    My initial reason for choosing this topic was that I thought I had found some deficiencies in Trovato and Halli's papers (1983, 1990), in which they used "ethnic effects" to explain the differences in geographic mobility levels among 7 major ethnic groups in Canada, using the PUMFs (Public Use Microdata Files) of the 1971 and 1981 censuses. They reported some inconsistencies between their expectations based on the "ethnic effect" hypothesis and their empirical findings, especially for Ukrainians, who were expected to have a lower propensity to make long-distance migration than average, but appeared to be more migratory. Originally I thought that the inconsistencies were due to the fact that they did not control for the general effects of the major regional differences in the spatial economy of Canada and the specific economic situation during the period of 1976-1981 on the propensities to make interptovincial migration. However, as I tried to reproduce their empirical work, I realized that although the spatial and temporal factors are important for the study of internal migration in Canada, the omission of them was not the main fault of the work. The real problem was not what Trovato and Halli failed to incorporate in their models, but how they interpreted their multivariate results. Taking this discovery as one of the major findings, much more empirical work was then done to get a better sense of the real migration situation for the ethnic groups in not only 1976-81 but also 1981-86 and 1996-2001. The finding of the low mobility levels ofItalians and Jews led to the further step of testing the economic niche theory. When using the long-form records of2001 census, the notice of the existence of new information made me carry out some additional work for the second-generation immigrants as well. What needs to be clarified here is that Chapter 3 in this thesis is co-authored with Dr. Kao-Lee Liaw. The author's contributions include analysis of the data, development of tables, and the writing of the first draft as well as many discussions with Dr. Liaw.Master of Arts (MA

    ToMChallenges: A Principle-Guided Dataset and Diverse Evaluation Tasks for Exploring Theory of Mind

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    Theory of Mind (ToM), the capacity to comprehend the mental states of distinct individuals, is essential for numerous practical applications. With the development of large language models, there is a heated debate about whether they are able to perform ToM tasks. Previous studies have used different tasks and prompts to test the ToM on large language models and the results are inconsistent: some studies asserted these models are capable of exhibiting ToM, while others suggest the opposite. In this study, We present ToMChallenges, a dataset for comprehensively evaluating Theory of Mind based on Sally-Anne and Smarties tests. We created 30 variations of each test (e.g., changing the person's name, location, and items). For each variation, we test the model's understanding of different aspects: reality, belief, 1st order belief, and 2nd order belief. We adapt our data for various tasks by creating unique prompts tailored for each task category: Fill-in-the-Blank, Multiple Choice, True/False, Chain-of-Thought True/False, Question Answering, and Text Completion. If the model has a robust ToM, it should be able to achieve good performance for different prompts across different tests. We evaluated two GPT-3.5 models, text-davinci-003 and gpt-3.5-turbo-0301, with our datasets. Our results indicate that consistent performance in ToM tasks remains a challenge.Comment: work in progres

    Evaluating Neural Networks as Cognitive Models for Learning Quasi-regularities in Language

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    Many aspects of language can be categorized as quasi-regular: the relationship between the inputs and outputs is systematic but allows many exceptions. Common domains that contain quasi-regularity include morphological inflection and grapheme-phoneme mapping. How humans process quasi-regularity has been debated for decades. This thesis implemented modern neural network models, transformer models, on two tasks: English past tense inflection and Chinese character naming, to investigate how transformer models perform quasi-regularity tasks. This thesis focuses on investigating to what extent the models\u27 performances can represent human behavior. The results show that the transformers\u27 performance is very similar to human behavior in many aspects, such as accuracy, answer variability, etc. However, there are still some differences in the models\u27 performance and human behavior, such as humans are more likely to produce irregular forms for nonce English verbs and are more likely to produce regular pinyin for unknown Chinese characters

    Controlling multiple returnings in non-sequential double ionization with orthogonal two-color laser pulses

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    With the three-dimensional semi-classical ensemble model, we studied the non-sequential double ionization by orthogonal two-color laser pulses. Our calculations show that the proportion of events experiencing multiple returnings, the sum of the final energies of two electrons, and the ion momentum distribution depend on the relative phase of the two-color fields, exhibiting oscillatory behavior with a period of π. Back analysis of these trajectories reveals that we can control the recollision energy of the electron by changing the relative phase of the two-color laser pulse. As a consequence, the trajectories of multiple-returning ions change with the relative phase, resulting in relative-phase-dependent ion momentum distributions. The result shows that the momentum distribution of the ions in the trajectories of multiple returnings is clearly wider than that for the case of single returning. For the multiple-returning events, the binary recollision leads to a smaller scattering angle of the first electron

    Semi-Supervised Domain Generalization for Cardiac Magnetic Resonance Image Segmentation with High Quality Pseudo Labels

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    Developing a deep learning method for medical segmentation tasks heavily relies on a large amount of labeled data. However, the annotations require professional knowledge and are limited in number. Recently, semi-supervised learning has demonstrated great potential in medical segmentation tasks. Most existing methods related to cardiac magnetic resonance images only focus on regular images with similar domains and high image quality. A semi-supervised domain generalization method was developed in [2], which enhances the quality of pseudo labels on varied datasets. In this paper, we follow the strategy in [2] and present a domain generalization method for semi-supervised medical segmentation. Our main goal is to improve the quality of pseudo labels under extreme MRI Analysis with various domains. We perform Fourier transformation on input images to learn low-level statistics and cross-domain information. Then we feed the augmented images as input to the double cross pseudo supervision networks to calculate the variance among pseudo labels. We evaluate our method on the CMRxMotion dataset [1]. With only partially labeled data and without domain labels, our approach consistently generates accurate segmentation results of cardiac magnetic resonance images with different respiratory motions. Code is available at: https://github.com/MAWanqin2002/STACOM2022MaComment: Accepted by International Workshop on Statistical Atlases and Computational Models of the Heart (STACOM2022) of MICCAI202

    An inevitably aging world -- Analysis on the evolutionary pattern of age structure in 200 countries

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    Ignoring the differences between countries, human reproductive and dispersal behaviors can be described by some standardized models, so whether there is a universal law of population growth hidden in the abundant and unstructured data from various countries remains unclear. The age-specific population data constitute a three-dimensional tensor containing more comprehensive information. The existing literature often describes the characteristics of global or regional population evolution by subregion aggregation and statistical analysis, which makes it challenging to identify the underlying rules by ignoring national or structural details. Statistical physics can be used to summarize the macro characteristics and evolution laws of complex systems based on the attributes and motions of masses of individuals by decomposing high-dimensional tensors. Specifically, it can be used to assess the evolution of age structure in various countries over the past approximately 70 years, rather than simply focusing on the regions where aging has become apparent. It provides a universal scheme for the growing elderly and working age populations, indicating that the demographics on all continents are inevitably moving towards an aging population, including the current "young" continents of Africa, and Asia, South America with a recent "demographic dividend". It is a force derived from the "life cycle", and most countries have been unable to avoid this universal evolutionary path in the foreseeable future
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