“Negroes Plan to Kill All Whites”

This chapter, which covers the first three decades of the twentieth century, begins with an account of the life and career of W. E. B. Du Bois, the most influential Black intellectual and social scientist of that period. A classic insider/outsider in American society, Du Bois earned a Harvard PhD in sociology and wrote a pioneering study of systemic racism in The Philadelphia Negro. He was also an outspoken activist in the Socialist Party and NAACP. Du Bois’s work placed him at the forefront of struggles against racism, especially in northern cities into which 1.5 million southern Blacks moved in the Great Migration, lured by the prospect of steady, well-paid factory jobs. These Black migrants, however, were outnumbered two to one by southern White migrants to those cities, who forced Blacks into ghettos with rundown, overcrowded housing and inferior schools. Tensions between the races intensified after World War I, sparking the “Red Summer” of 1919, with major race riots—instigated by Whites—in Washington, D.C., and Chicago, leaving dozens dead and thousand with burned-out homes. The bloodshed culminated that fall with the massacre of some two hundred Black tenant farmers and their families in the town of Elaine, Arkansas, followed two years later by another massacre, in Tulsa, Oklahoma. The decade of the 1920s offered northern Blacks little respite from the racism that kept them from escaping poverty.

Municipal Programs and Sustainable Development in Russian Northern Cities: Case Studies of Murmansk and Magadan

Cities play an important role in promoting sustainable development. In the Arctic, most particularly in Russia, cities concentrate the majority of residents and economic activity. Sustainable development initiatives are often deployed through programs that operate at different spatial and jurisdictional scales. While national and regional policies and programs have received some attention, the understanding of urban development policies and programs at the municipal level in the Arctic is still limited. This paper presents a case study of municipal sustainable development programming in Arctic cities and examines municipal programs in two larger Russian northern cities: Murmansk and Magadan. While both are regional capitals and the most populous urban settlements in their regions, the cities have district historical, economic and geographical contexts. Through the content analysis of municipal programs active in 2018, we aim to understand, systematize and compare the visions and programmatic actions of the two municipalities on sustainable development. Ten sustainable development programming categories were identified for using a UN SDG-inspired approach modeled after the City of Whitehorse, Canada. While the programs in Magadan and Murmansk are quite different, we observed striking commonalities that characterize the national, regional and local models of urban sustainable development policy making in the Russian Arctic.

Health Risks to the Russian Population from Temperature Extremes at the Beginning of the XXI Century

Climate change and climate-sensitive disasters caused by climatic hazards have a significant and increasing direct and indirect impact on human health. Due to its vast area, complex geographical environment and various climatic conditions, Russia is one of the countries that suffers significantly from frequent climate hazards. This paper provides information about temperature extremities in Russia in the beginning of the 21st century, and their impact on human health. A literature search was conducted using the electronic databases Web of Science, Science Direct, Scopus, and e-Library, focusing on peer-reviewed journal articles published in English and in Russian from 2000 to 2021. The results are summarized in 16 studies, which are divided into location-based groups, including Moscow, Saint Petersburg and other large cities located in various climatic zones: in the Arctic, in Siberia and in the southern regions, in ultra-continental and monsoon climate. Heat waves in cities with a temperate continental climate lead to a significant increase in all-cause mortality than cold waves, compared with cities in other climatic zones. At the same time, in northern cities, in contrast to the southern regions and central Siberia, the influence of cold waves is more pronounced on mortality than heat waves. To adequately protect the population from the effects of temperature waves and to carry out preventive measures, it is necessary to know specific threshold values of air temperature in each city.

Structure, Chronology, and Local Social Meaning of a Supra-Local Vowel Shift: Emergence of the Low-Back-Merger Shift in New England

The Low-Back-Merger Shift (LBMS) is a major North American vowel chain shift spreading across many disparate dialect regions. In this field-based study, we examine the speech of fifty-nine White Western Massachusetts speakers, aged 18–89. Using diagnostics in Becker (2019) and Boberg (2019b), we find the LBMS emerging at the expense of the Northern Cities Shift (Labov, Yaeger, & Steiner, 1972) and traditional New England features (Boberg, 2001; Kurath, 1939; Nagy & Roberts, 2004). In Becker's LBMS model (2019:9), the low-back merger (lot-thought) triggers front-vowel shifts. Our results suggest that local social meaning can sometimes override this chronology such that the front-vowel shifts occur before the low-back merger, even as the overall configuration comes to match Becker's predictions. Sociosymbolic meaning associated with the older New England system has led to a different temporal ordering of LBMS components, thus providing new theoretical and empirical insights into the mechanisms by which supralocal patterns are adopted.

Symbolic Capital as a Brand Tool of Sociocultural Life (on the Material of the Northern Cities of the Republic of Sakha (Yakutia))

Aim. The aim of the research is to study the symbolic capital of northern cities (semiotic potential) contained in "urban texts" and the influence of the historical memory of a multiethnic region on the political process of the region and the country as a whole, through a comprehensive and interdisciplinary study of the symbolic space of cities in the Republic of Sakha (Yakutia). Methods. The study used the cognitive approach, the method of space-time analysis, and the method of historicism and questionnaire survey. Symbolic space as a text is a heterogeneous content. Results. The results of the study show the importance of a symbolic resource as a brand tool, first, depending on the political context and introduction into the collective memory through a constant "reminder" of its importance and significance in the socio-cultural and everyday life of citizens. The resulting databases of monuments served as the basis for compiling a virtual album of monuments and art objects in the cities of the Republic of Sakha (Yakutia). The research results can practically be applied in the field of education, politics, culture, in the study and promotion of the cultural and historical heritage of the regions of Russia. Conclusions. The urgent problem is the task of preserving the accumulated experience and values, places of memory, relics of the past, as well as ideas about the past that are stored in the memory of its inhabitants and the transfer of this knowledge to the younger generation.

Advances in Completely Automated Vowel Analysis for Sociophonetics: Using End-to-End Speech Recognition Systems With DARLA

In recent decades, computational approaches to sociophonetic vowel analysis have been steadily increasing, and sociolinguists now frequently use semi-automated systems for phonetic alignment and vowel formant extraction, including FAVE (Forced Alignment and Vowel Extraction, Rosenfelder et al., 2011; Evanini et al., Proceedings of Interspeech, 2009), Penn Aligner (Yuan and Liberman, J. Acoust. Soc. America, 2008, 123, 3878), and DARLA (Dartmouth Linguistic Automation), (Reddy and Stanford, DARLA Dartmouth Linguistic Automation: Online Tools for Linguistic Research, 2015a). Yet these systems still have a major bottleneck: manual transcription. For most modern sociolinguistic vowel alignment and formant extraction, researchers must first create manual transcriptions. This human step is painstaking, time-consuming, and resource intensive. If this manual step could be replaced with completely automated methods, sociolinguists could potentially tap into vast datasets that have previously been unexplored, including legacy recordings that are underutilized due to lack of transcriptions. Moreover, if sociolinguists could quickly and accurately extract phonetic information from the millions of hours of new audio content posted on the Internet every day, a virtual ocean of speech from newly created podcasts, videos, live-streams, and other audio content would now inform research. How close are the current technological tools to achieving such groundbreaking changes for sociolinguistics? Prior work (Reddy et al., Proceedings of the North American Association for Computational Linguistics 2015 Conference, 2015b, 71–75) showed that an HMM-based Automated Speech Recognition system, trained with CMU Sphinx (Lamere et al., 2003), was accurate enough for DARLA to uncover evidence of the US Southern Vowel Shift without any human transcription. Even so, because that automatic speech recognition (ASR) system relied on a small training set, it produced numerous transcription errors. Six years have passed since that study, and since that time numerous end-to-end automatic speech recognition (ASR) algorithms have shown considerable improvement in transcription quality. One example of such a system is the RNN/CTC-based DeepSpeech from Mozilla (Hannun et al., 2014). (RNN stands for recurrent neural networks, the learning mechanism for DeepSpeech. CTC stands for connectionist temporal classification, the mechanism to merge phones into words). The present paper combines DeepSpeech with DARLA to push the technological envelope and determine how well contemporary ASR systems can perform in completely automated vowel analyses with sociolinguistic goals. Specifically, we used these techniques on audio recordings from 352 North American English speakers in the International Dialects of English Archive (IDEA1), extracting 88,500 tokens of vowels in stressed position from spontaneous, free speech passages. With this large dataset we conducted acoustic sociophonetic analyses of the Southern Vowel Shift and the Northern Cities Chain Shift in the North American IDEA speakers. We compared the results using three different sources of transcriptions: 1) IDEA’s manual transcriptions as the baseline “ground truth”, 2) the ASR built on CMU Sphinx used by Reddy et al. (Proceedings of the North American Association for Computational Linguistics 2015 Conference, 2015b, 71–75), and 3) the latest publicly available Mozilla DeepSpeech system. We input these three different transcriptions to DARLA, which automatically aligned and extracted the vowel formants from the 352 IDEA speakers. Our quantitative results show that newer ASR systems like DeepSpeech show considerable promise for sociolinguistic applications like DARLA. We found that DeepSpeech’s automated transcriptions had significantly fewer character error rates than those from the prior Sphinx system (from 46 to 35%). When we performed the sociolinguistic analysis of the extracted vowel formants from DARLA, we found that the automated transcriptions from DeepSpeech matched the results from the ground truth for the Southern Vowel Shift (SVS): five vowels showed a shift in both transcriptions, and two vowels didn’t show a shift in either transcription. The Northern Cities Shift (NCS) was more difficult to detect, but ground truth and DeepSpeech matched for four vowels: One of the vowels showed a clear shift, and three showed no shift in either transcription. Our study therefore shows how technology has made progress toward greater automation in vowel sociophonetics, while also showing what remains to be done. Our statistical modeling provides a quantified view of both the abilities and the limitations of a completely “hands-free” analysis of vowel shifts in a large dataset. Naturally, when comparing a completely automated system against a semi-automated system involving human manual work, there will always be a tradeoff between accuracy on the one hand versus speed and replicability on the other hand [Kendall and Joseph, Towards best practices in sociophonetics (with Marianna DiPaolo), 2014]. The amount of “noise” that can be tolerated for a given study will depend on the particular research goals and researchers’ preferences. Nonetheless, our study shows that, for certain large-scale applications and research goals, a completely automated approach using publicly available ASR can produce meaningful sociolinguistic results across large datasets, and these results can be generated quickly, efficiently, and with full replicability.

Study on the Matching Degree between Land Resources Carrying Capacity and Industrial Development in Main Cities of Xinjiang, China

The contradiction between industrial development (ID) and land resource carrying capacity (LRCC) is increasingly intensified with the rapid advancement of urbanization globally. This typical phenomenon exists particularly in these developing countries or regions. This study investigated the matching degree (MD) between ID and LRCC by using a coupling coordination degree model (CCDM) with referring to the main cities of Xinjiang, China. The data used in this study was collected from 16 sample cities in Xinjiang for the period of 2009–2018. The research findings reveal that (1) MD average value between 16 sample cities has been gaining steady growth; (2) although MD value in all sample cities has been increasing, there still exists a big room for improvement towards a well matching state; (3) the differences in MD values among all sample cities are very small; (4) the MD performance in the northern cities in Xinjiang is better than that in southern Xinjiang. This is mainly because of the radiation effect of Urumqi in northern cities. It is therefore suggested developing such a radiation city in southern Xinjiang in order to improve MD performance in southern Xinjiang. These research findings can provide policymakers in Xinjiang and other backward cities globally with valuable references in understanding the status of MD between ID and LRCC in the local cities, thus tailor-made policy instruments can be designated for the mission of sustainable development.

The current trends in mosque architecture in the northern cities of the United Arab Emirates (UAE)

PurposeThe main aim of this study is to identify the prevailing design trends in contemporary mosques in northern cities of the United Arab Emirates (UAE). It highlights the key elements and features to categorize mosques.Design/methodology/approachBased on the literature review, four major stylistic expressions were identified, which formed the theoretical basis for a survey conducted to study 50 mosques in each of the four northern cities: Sharjah, Ajman, Umm Al Quwain and Ras Al Khaimah. The 200 visited mosques were investigated and analyzed based on the four categories. The comparison between these mosques enabled the author to identify the key elements and features that can be adopted in classifying mosques in relation to the four main trends.FindingsThe study reveals that there is a strong attachment with local historic styles. In total, 86% of the mosques follow traditional and historic styles. While 74% of Sharjah mosques follow historicism, 64–72% in the other cities adopt local traditional. Almost all investigated mosques follow one layout, but with diverse stylistic expressions. Some major elements are common among all mosques, while other minor elements are found in all congregational mosques. The study identified key indicators that can be used to help classifying mosques in other cities and countries.Originality/valueThis is the first study to categorize mosques in the UAE. There are few studies on mosques in Sharjah and Ajman, focusing on typology and sustainability, with less emphasis on styles. The results of this study can be considered by architects as well as by authorities. It can also be used as a reference for other studies.