6,810 research outputs found

    Jordan and the Refugee Crisis: Impact on the Host Nation

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    This thesis investigated the effect of refugee populations of the culture and society of Jordan with emphasis placed on Jordanian social acceptance of refugee populations as measured through intermarriage. Data was collected quantitatively from 100 female respondents at each of three Jordanian universities regarding values and acceptance of refugee populations as potential spouses using a simple survey. Data was also collected qualitatively by semi-structured interviews with select individuals to provide context. Universities were geographically diverse to allow observation of regional disparities in response. Whitney Mann U test was used to compare significance of answers across universities. Survey data showed that Jordanian acceptance of refugees through intermarriage was low unless they had Jordanian citizenship. There were also indicators that wealth may play a greater role in acceptance than ethnic origin or traditions. I found while societal acceptance of refugees may be growing, especially in the urban areas, governmental restrictions on citizenship, while understandable on the pragmatic level, will continue to create a hurdle for integration. Other factors that affect integration of refugees in Jordan are also discussed

    Is text preprocessing still worth the time? A comparative survey on the influence of popular preprocessing methods on Transformers and traditional classifiers

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    With the advent of the modern pre-trained Transformers, the text preprocessing has started to be neglected and not specifically addressed in recent NLP literature. However, both from a linguistic and from a computer science point of view, we believe that even when using modern Transformers, text preprocessing can significantly impact on the performance of a classification model. We want to investigate and compare, through this study, how preprocessing impacts on the Text Classification (TC) performance of modern and traditional classification models. We report and discuss the preprocessing techniques found in the literature and their most recent variants or applications to address TC tasks in different domains. In order to assess how much the preprocessing affects classification performance, we apply the three top referenced preprocessing techniques (alone or in combination) to four publicly available datasets from different domains. Then, nine machine learning models – including modern Transformers – get the preprocessed text as input. The results presented show that an educated choice on the text preprocessing strategy to employ should be based on the task as well as on the model considered. Outcomes in this survey show that choosing the best preprocessing technique – in place of the worst – can significantly improve accuracy on the classification (up to 25%, as in the case of an XLNet on the IMDB dataset). In some cases, by means of a suitable preprocessing strategy, even a simple Naïve Bayes classifier proved to outperform (i.e., by 2% in accuracy) the best performing Transformer. We found that Transformers and traditional models exhibit a higher impact of the preprocessing on the TC performance. Our main findings are: (1) also on modern pre-trained language models, preprocessing can affect performance, depending on the datasets and on the preprocessing technique or combination of techniques used, (2) in some cases, using a proper preprocessing strategy, simple models can outperform Transformers on TC tasks, (3) similar classes of models exhibit similar level of sensitivity to text preprocessing

    The Comparative Intercultural Sensitivity of American Faculty Teaching Abroad and Domestically : A Mixed-Methods Investigation Employing Participant-Generated Visuals

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    This thesis aimed to identify and compare the intercultural sensitivity, or IS, of tertiary American instructors teaching mono-national, non-American student populations abroad in the UAE and that of American tertiary instructors in multinational, non-American student populations domestically in the US. The study investigated the use of reflexive photography and photo-elicitation interviews methods as both data collection approaches and possible cultivators of IS, as well as any variation in findings between the two participant groups. The study employed a mixed-methods approach involving surveys and semi-structured photo-elicitation interviews following a four-week reflexive photography project. Qualitative data were analyzed through the lens of a developmental framework and inductively through thematic analysis to capture fuller images of participants’ environments. Both groups of participants self-report fairly high IS, with the US-based group’s sensitivity averaging higher than the UAE-based group. Both groups, on average, showed slightly increased IS quantitatively following the reflexive photography project and photo-elicitation interviews, with the UAE-based group experiencing a slightly greater increase. This research involves a small number of participants; findings should be considered for indicative purposes only. Participants’ IS, when observed through the theoretical lens, indicate more progressive sensitivity among US-based participants. Thematic analysis of interview data reflects distinct teaching contexts faced by each participant group, with five and six themes emerging from the UAE- and US-based groups, respectively. This research is the first to the best of the author’s knowledge to investigate the IS of tertiary American faculty teaching internationally diverse student populations domestically and is also the first to compare differences in IS between this group and America

    Location Reference Recognition from Texts: A Survey and Comparison

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    A vast amount of location information exists in unstructured texts, such as social media posts, news stories, scientific articles, web pages, travel blogs, and historical archives. Geoparsing refers to recognizing location references from texts and identifying their geospatial representations. While geoparsing can benefit many domains, a summary of its specific applications is still missing. Further, there is a lack of a comprehensive review and comparison of existing approaches for location reference recognition, which is the first and core step of geoparsing. To fill these research gaps, this review first summarizes seven typical application domains of geoparsing: geographic information retrieval, disaster management, disease surveillance, traffic management, spatial humanities, tourism management, and crime management. We then review existing approaches for location reference recognition by categorizing these approaches into four groups based on their underlying functional principle: rule-based, gazetteer matching–based, statistical learning-–based, and hybrid approaches. Next, we thoroughly evaluate the correctness and computational efficiency of the 27 most widely used approaches for location reference recognition based on 26 public datasets with different types of texts (e.g., social media posts and news stories) containing 39,736 location references worldwide. Results from this thorough evaluation can help inform future methodological developments and can help guide the selection of proper approaches based on application needs

    Examining systemic and dispositional factors impacting historically disenfranchised schools across North Carolina

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    This mixed method sequential explanatory study provided analysis of North Carolina (NC) school leaders’ dispositions in eliminating opportunity gaps, outlined in NC’s strategic plan. The study’s quantitative phase used descriptive and correlation analysis of eight Likert subscales around four tenets of transformative leadership (Shields, 2011) and aspects of critical race theory (Bell, 1992; Ladson-Billings, 1998; Ladson-Billings & Tate, 2006) to understand systemic inequities and leadership attitudes. The qualitative phase comprised three analyses of education leadership dispositions and systemic factors in NC schools. The first analysis of State Board of Education meeting minutes from 2018–2023 quantified and analyzed utterances of racism and critical race, outlined the sociopolitical context of such utterances, and identified systemic patterns and state leader dispositions. The second analysis of five interviews of K–12 graduates identified persistent and systemic factors influencing NC education 3 decades after Brown v. Board of Education (1954) and within the context of Leandro v. State of NC (1997), where the NC Supreme Court recognized the state constitutional right for every student to access a “sound basic education.” The final qualitative analysis consisted of five interviews of current NC public school system leaders, for personal narratives of the state of NC schools compared to patterns from lived experiences of NC K–12 graduates. The study’s findings suggested NC school and state education leaders experience a racialized dichotomy between willingness for change (equity intentions) and execution of transformative action (practice). Although leaders at the board and school levels recognize the need for inclusivity and equity, a struggle to transcend systemic challenges, especially rooted in racial biases and power dynamics is evident. This study may identify leadership qualities needed for change in NC to address systemic inequities for improving educational access and inform policy to uphold all students’ constitutional right to a sound, basic education

    Insurance Discourse Analysis: Identifying Register Variables and Generic Stages in English Cross-border Complaint Calls

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    Interpersonal meaning-making resources are construed by customer service representatives (CSRs) and customers in call center telephone conversations. The purpose of the present study is to explore the contextual features—specifically, register variables and generic stages—that American customers and Filipino CSRs employ to create meaning potentials in cross-border insurance calls. The results of this study reveal that register variables, specific generic stages, and various lexicogrammatical choices play significant roles in call center negotiation. The theoretical framework used in this research is Systemic Functional Linguistics (SFL), which provides valuable insights into the study of text at the register level, including field, mode, and tenor, as well as semantically, in terms of metafunctions. A data set of over 2000 English conversations from an insurance call center in the Philippines was examined, and 20 longer complaint calls involving complex negotiations were carefully selected for transcription. These calls amounted to approximately four hours of talk, resulting in a total of 39,440 words, and the findings highlight the register variables and common generic stages observed in the analyzed calls. It is observed that customers frequently use the recount strategy in call center encounters. Recounts are typically used by the customer in the Objection stage and are associated with delayed refusal in generic stages, contributing to the formation of experiential meanings. It is hoped that the present study provides insights into call center discourse in the insurance industry by identifying the register and generic features of cross-border complaint calls

    From abuse to trust and back again

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    oai:westminsterresearch.westminster.ac.uk:w7qv

    Cycling Through the Pandemic : Tactical Urbanism and the Implementation of Pop-Up Bike Lanes in the Time of COVID-19

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    Provides an international overview on how tactical urbanism was implemented to give more space to cycling Demonstrates the conceptual framework surrounding tactical urbanism and how it plays out theoretically Proposes new methodological insights to understand the effects of tactical urbanism intervention

    Choreographing tragedy into the twenty-first century

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    What makes a tragedy? In the fifth century BCE this question found an answer through the conjoined forms of song and dance. Since the mid-twentieth century, and the work of the Tanztheater Wuppertal Pina Bausch, tragedy has been variously articulated as form coming apart at the seams. This thesis approaches tragedy through the work of five major choreographers and a director who each, in some way, turn back to Bausch. After exploring the Tanztheater Wuppertal’s techniques for choreographing tragedy in chapter one, I dedicate a chapter each to Dimitris Papaioannou, Akram Khan, Trajal Harrell, Ivo van Hove with Wim Vandekeybus, and Gisùle Vienne. Bringing together work in Queer and Trans* studies, Performance studies, Classics, Dance, and Classical Reception studies I work towards an understanding of the ways in which these choreographers articulate tragedy through embodiment and relation. I consider how tragedy transforms into the twenty-first century, how it shapes what it might mean to live and die with(out) one another. This includes tragic acts of mythic construction, attempts to describe a sense of the world as it collapses, colonial claims to ownership over the earth, and decolonial moves to enact new ways of being human. By developing an expanded sense of both choreography and the tragic one of my main contributions is a re-theorisation of tragedy that brings together two major pre-existing schools, to understand tragedy not as an event, but as a process. Under these conditions, and the shifting conditions of the world around us, I argue that the choreography of tragedy has and might continue to allow us to think about, name, and embody ourselves outside of the ongoing catastrophes we face
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