COGNITIVE AND LINGUISTIC FACTORS OF READING ARABIC: THE ROLE OF MORPHOLOGICAL AWARENESS IN READING

Scientific reading research has produced substantial evidence linking specific reading components to a range of constructs including phonological awareness (PA), morphological awareness, orthographic processing (OP), rapid automatized naming, working memory and vocabulary. There is a paucity of research on Arabic, although 420 million people around the world (Gordon, 2005) speak Arabic. As a Semitic language, Arabic differs in many ways from Indo-European languages. Over the past three decades, literacy research has begun to elucidate the importance of morphological awareness (MA) in reading. Morphology is a salient aspect of Arabic word structure. This study was designed to (a) examine the dimensions underlying MA in Arabic; (b) determine how well MA predicts reading; (c) investigate the role of the standard predictors in different reading outcomes; and (d) investigate the construct of reading in Arabic. This study was undertaken in two phases. In Phase I, 10 MA measures and two reading measures were developed, and tested in a sample of 102 Grade 3 Arabic-speaking children. Factor analysis of the 10 MA tasks yielded one predominant factor supporting the construct validity of MA in Arabic. Hierarchical regression analyses, controlling for age and gender, indicated that the MA factor solution accounted for 41– 43% of the variance in reading. In Phase II, the widely studied predictor measures were developed for PA and OP in addition to one additional measure of MA (root awareness), and three reading measures In Phase II, all measures were administered to another sample of 201 Grade 3 Arabic-speaking children. The construct of reading in Arabic was examined using factor analysis. The joint and unique effects of all standard predictors were examined using different sets of hierarchical regression analyses. Results of Phase II showed that: (a) all five reading measures loaded on one factor; (b) MA consistently accounted for unique variance in reading, particularly in comprehension, above and beyond the standard predictors; and (c) the standard predictors had differential contributions. These findings underscore the contribution of MA to all components of Arabic reading. The need for more emphasis on including morphology in Arabic reading instruction and assessment is discussed.

Minorities, Measured Cognitive Skills and the Earnings of Canadians (Working Paper 26)

This paper uses the Statistics Canada Survey of Literacy Skills in Daily Use (LSUDA) to investigate minority-“white”(i.e., non-minority) income differences and the role education and English/French literacy and numeracy skills play in those patterns. There are three principal sets of findings. First, among males, some visible minority groups have substantially lower levels of the measured language and number skills than whites and other more economically successful minorities, and in some cases these differences play a significant role in explaining the observed income patterns. The minority-white income gaps are, however, much smaller for women, and the literacy and numeracy variables do not have much of a role to play in explaining those differences. Second, for men, the minority-white income gaps are largely confined to immigrants, and there are no significant differences amongst the native-born once various factors which affect incomes (including education and the literacy and numeracy measures) are taken into account. For women, though, minority-white income differences only emerge for certain Canadian-born groups when they are differentiated from immigrants, for whom different gaps become apparent. Finally, the measured returns to literacy and numeracy differ significantly by ethnic group and sex. Various implications of the findings are discussed.

Accommodating Muslim Minorities in Secular Societies: Public Education in England, Scotland, Ontario, and Quebec

Abstract This thesis examines one of the most sensitive challenges facing contemporary democracies: the accommodation of Muslim minorities in public institutions and services. It focuses on the field of education, and on two particular issues: the public funding of Islamic schools and the accommodation of Muslim needs in public secular schools. The analysis is based on an examination of outcomes in four jurisdictions that differ significantly in the level of accommodation that has emerged: England, Scotland, Ontario, and Quebec. I seek to explain why such variation in outcomes exists among these four cases. I draw on four bodies of literature to underpin the theoretical framework: historical institutionalism, political mobilization by civil society, political parties, and ideationalism. My argument can be summarized simply; historic church-state settlements, unique in each case, are the most important factor explaining the variation in outcomes in England, Scotland, Ontario, and Quebec. In some cases, the historic church-state template is incrementally adapted to accommodate Muslim minorities. In other cases, relatively little accommodation occurs and the path-dependent trajectory of church-state relations remains entrenched. While the historic church-state template is a necessary factor in the explanation, it does not fully account for the variation. For a more complete picture, I demonstrate that there are several additional key factors that also shape the outcomes: first, national identity and public attitudes towards immigration and immigrants; second, the extent of mobilization by political agents, such as civil society organizations and historic churches; and third, the response of political parties to demands by Muslims for institutional accommodation. Ultimately, I conclude that Muslims in these jurisdictions are receiving some accommodation, but the process is slow and partial. This thesis makes important theoretical and empirical contributions to the discussion of Muslim integration in liberal democratic states. First, a framework has yet to be developed that considers the theoretical implications of institutional accommodation of Muslims; I address this gap. Second, this research demonstrates the utility of historical institutionalism in explaining the adaptation of church-state templates to accommodate Muslims’ demands. Last, this study makes an original contribution by comparing the cases of England, Scotland, Ontario, and Quebec in the accommodation of Muslims in education. A comparison of Canada with the United Kingdom has not yet been done.  

Telenovela’s orality: from medium to a linguistic-discursive construction

Telenovela’s orality: from medium to a linguistic-discursive construction. Studies about telenovelas usually highlight their "orality". However, a literature review, specifically for Latin American telenovelas, shows that the term "orality" has been used with varying senses. In contrast with those devoted to telenovelas, literary studies have addressed the question by conceptualizing it as fictional orality. This paper takes fictional orality as a key concept to explain telenovela’s discursive peculiarities, and on that base, it distinguishes several dimensions of linguistic and discursive variation, in which such orality is being portrayed.

A Generalized Fuzzy Linguistic Model for Predicting Component Concentrations in an Optical Gas Sensing System

Motivated by environmental protection concerns, monitoring the flue gas of thermal power plant is now often mandatory due to the need to ensure that emission levels stay within safe limits. Optical based gas sensing systems are increasingly employed for this purpose, with regression techniques used to relate gas optical absorption spectra to the concentrations of specific gas components of interest (NOx, SO2 etc.). Accurately predicting gas concentrations from absorption spectra remains a challenging problem due to the presence of nonlinearities in the relationships and the high-dimensional and correlated nature of the spectral data. This article proposes a generalized fuzzy linguistic model (GFLM) to address this challenge. The GFLM is made up of a series of “If-Then” fuzzy rules. The absorption spectra are input variables in the rule antecedent. The rule consequent is a general nonlinear polynomial function of the absorption spectra. Model parameters are estimated using least squares and gradient descent optimization algorithms. The performance of GFLM is compared with other traditional prediction models, such as partial least squares, support vector machines, multilayer perceptron neural networks and radial basis function networks, for two real flue gas spectral datasets: one from a coal-fired power plant and one from a gas-fired power plant. The experimental results show that the generalized fuzzy linguistic model has good predictive ability, and is competitive with alternative approaches, while having the added advantage of providing an interpretable model.

Introduction: dispersed minorities and non-territorial autonomy

The concept of non-territorial autonomy gives rise to at least two important questions: the range of functional areas over which autonomy extends, and the extent to which this autonomy is indeed non-territorial. A widely used early description significantly labelled this ‘national cultural autonomy’, implying that its focus is mainly on cultural matters, such as language, religion, education and family law. In many of the cases that are commonly cited, ‘autonomy’ may not even extend this far: its most visible expression is the existence of separate electoral registers or quotas for the various groups. Part of the dilemma lies in the difficulty of devolving substantial power on a non-territorial basis: to the extent that devolved institutions are state-like, they ideally require a defined territory. Ethnic groups, however, vary in the extent to which they are territorially concentrated, and therefore in the degree to which any autonomous arrangements for them are territorial or non-territorial. This article explores the dilemma generated by this tension between ethnic geography (pattern of ethnic settlement) and political autonomy (degree of selfrule), and introduces a set of case studies where the relationship between these two features is discussed further: the Ottoman empire and its successor states, the Habsburg monarchy, the Jewish minorities of Europe, interwar Estonia, contemporary Belgium, and two indigenous peoples, the Sa´mi in Norway and the Maori in New Zealand.

A generalized fuzzy linguistic model for predicting component concentrations in an optical gas sensing system

Motivated by environmental protection concerns, monitoring the flue gas of thermal power plant is now often mandatory due to the need to ensure that emission levels stay within safe limits. Optical based gas sensing systems are increasingly employed for this purpose, with regression techniques used to relate gas optical absorption spectra to the concentrations of specific gas components of interest (NO_x, SO₂ etc.). Accurately predicting gas concentrations from absorption spectra remains a challenging problem due to the presence of nonlinearities in the relationships and the high-dimensional and correlated nature of the spectral data. This article proposes a generalized fuzzy linguistic model (GFLM) to address this challenge. The GFLM is made up of a series of “If-Then” fuzzy rules. The absorption spectra are input variables in the rule antecedent. The rule consequent is a general nonlinear polynomial function of the absorption spectra. Model parameters are estimated using least squares and gradient descent optimization algorithms. The performance of GFLM is compared with other traditional prediction models, such as partial least squares, support vector machines, multilayer perceptron neural networks and radial basis function networks, for two real flue gas spectral datasets: one from a coal-fired power plant and one from a gas-fired power plant. The experimental results show that the generalized fuzzy linguistic model has good predictive ability, and is competitive with alternative approaches, while having the added advantage of providing an interpretable model.

Epistemic Modality in Linguistic and Literature Essays in English : A comparative corpus-based study of modal verbs in student claims

This study is a corpus-based comparison between student essays written in the subject areas of English linguistics and literature at undergraduate level. They are 200 Bachelor degree theses submitted at a variety of university departments (such as English, Language and Literature, Humanities, Social and Intercultural Studies) in Sweden. The comparison concerns frequencies of core modal verbs and how often they occur together with the I, we and it subject pronouns and in the structures this/the [essay, study, project, thesis] when students attempt to communicate their personal claims. Quantitative and qualitative analyses of the essays show few similarities in the ways that core modal verbs appear in both disciplines. The results indicate mainly distinct differences, especially in relation to clusters and variation of performative verbs. Specific patterns in the ways that students use core modal verbs as hedges have also been identified.

The Impact of Global English in Xinjiang, China: Linguistic Capital and Identity Negotiation among the Ethnic Minority and Han Chinese Students

Thesis (Ph.D.)--University of Washington, 2016-08

Complexities in Context: Pathways to Preparing Teachers for Cultural and Linguistic Diversity

Thesis (Ph.D.)--University of Washington, 2016-06