Saudi Cultural Missions Theses & Dissertations
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Item Restricted Precision & Prestige: Chronicling the Emergence & Evolution of the Luxury Fashion Wristwatch(The New School - Parsons Paris, 2024-05-30) Almashabi, Deema; Cotta, LaurentThis thesis explores the intricate relationship between haute couture and haute horlogerie, exploring the evolution of wristwatch collections from premier fashion houses. Starting with a poetic contemplation on the nature of time, influenced by philosophers, poets, and scientific advancements, it shifts focus to the physical manifestation of time through the wristwatch. This accessory transcends its functional role, embodying social, emotional, economic, and existential dimensions. The historical journey from ancient timekeeping methods to the precision of modern mechanical watches sets the stage for an in-depth analysis of the wristwatch's evolution as both a technical marvel and a fashion statement. Marked by significant technological advancements and shifts in societal perceptions of time, this research highlights the transition of wristwatches from practical tools to emblematic instruments that signify beyond their functional purpose. By examining the entry of haute couture and luxury brands into the world of haute horlogerie, the thesis seeks to understand how these iconic labels have balanced their unique brand identities with the stringent standards of high-end watchmaking. Through case studies of Dior, Hermès, and Chanel, it investigates the historical and contextual factors influencing their wristwatch collections. The central research question probes the evolution of these brands' initial wristwatch collections, focusing on the transformative impact of design, craftsmanship, and industrial advances. This exploration is set against the backdrop of global watchmaking centres and the fundamental role of Place Vendôme in linking haute couture with precision watchmaking, iv offering insights into the seamless integration of fashion and functionality in the realm of luxury timepieces. In investigating the trajectory of these brands’ initial wristwatch collections alongside their brand heritage and methodologies, this research will employ a multifaceted theoretical analysis approach. Drawing upon a wide array of historical documentation, fashion archives, and industry reports, the study aims to dissect the nuances of brand evolution in the context of watchmaking. Comparative analysis will further illuminate the distinct strategies adopted by the brands mentioned above, shedding light on how each brand’s unique identity and aesthetic have been woven into their timepiece collections. Through this lens, the research will critically assess the interplay between tradition and innovation, scrutinizing how historical significance and contemporary advancements converge within these wristwatch collections. This methodical examination will enable a deeper understanding of the symbiotic relationship between luxury fashion brands and high watchmaking, offering new perspectives on the enduring legacy and future endeavours of luxury fashion brands venturing further into high watchmaking.32 0Item Restricted The Dance Of Order And Chaos: Tracking Keywords Evolution in a Community Over Time(Saudi Digital Library, 2023) Alhazmi, Arwa; Andreas, Gutmann; Ismini, Psychoula; Murdoch, StevenOnline platforms face a persistent challenge in managing prohibited content. As they act to curtail undesired content by blocking search results for specific search terms (keywords) used by malicious actors, they inadvertently impact their associated benign content. Simultaneously, malicious actors cleverly adapt by introducing intentional language variations to those terms. This risks blocking further innocent content and creates openings for undesired content to remain undetected. Therefore, while bad actors’ use of specialized language offers opportunities for content management, it also raises the need for systems adept at detecting the specific terms used across different timeframes, to thwart their efforts efficiently. In this research, we utilize a publicly available time-series dataset of online posts (news articles) to track keyword evolution over time. We posit that methods adept at capturing these shifts can enhance analysis and consequently, the precision of search terms blocking. Our methods leveraged diverse NLP techniques. Firstly, to track change in keywords, news articles were categorized using BERTopic, keywords were extracted for each article using KeyBERT, and afterward, keywords were sampled and carefully represented utilizing tf-idf for different periods. Subsequently, periods were clustered using hierarchical agglomerative clustering to identify patterns and trends. Secondly, our method for tracking contextual change in keywords consisted of identifying keywords, identifying different topics keywords’ representative articles belong to, and setting criteria for defining prominent and shifting topics. Our analysis has yielded promising results, demonstrating that the clustering approach we have adopted for tracking change is adept for handling time-series keywords. Its strength lies in discerning evolving patterns and temporal shifts in keywords and providing insights into ideal time frames for such monitoring. Notably, we were able to identify recurring or seasonal trends, shortterm trends, extended trends, and distinctive keywords isolated within a single month. Moreover, our method and criteria for tracking and analyzing keywords’ usage evolution between through different contexts have proven effective, as evidenced by identifying a contextual shift in 16% of the top 1,000 keywords in our dataset.17 0