Catalogue Search | MBRL
Are you sure you want to remove the book from the shelf?
{{itemTitle}}
85
result(s) for
"Humanities Canada Data processing."
Sort by:
Cultural mapping and the digital sphere : place and space
\"This collection of fourteen essays enriches digital humanities research by examining various Canadian cultural works and the advances in technologies that facilitate these interdisciplinary collaborations. Fourteen essays in English and French survey the helix of place and space: While contributors to Part 1 chart new archival and storytelling methodologies, those in Part 2 venture forth to explore specific cultural and literary texts. Cultural Mapping and the Digital Sphere will serve as an indispensable road map for researchers and those interested in the digital humanities, women's writing, and Canadian culture and literature.\"-- Provided by publisher.
Book
Cultural Mapping and the Digital Sphere
Fourteen essays map Canadian literary and cultural products via advances in digital humanities research methodologies.
eBook
Predicting walking-to-work using street-level imagery and deep learning in seven Canadian cities
New ‘big data’ streams such as street-level imagery are offering unprecedented possibilities for developing health-relevant data on the urban environment. Urban environmental features derived from street-level imagery have been used to assess pedestrian-friendly neighbourhood design and to predict active commuting, but few such studies have been conducted in Canada. Using 1.15 million Google Street View (GSV) images in seven Canadian cities, we applied image segmentation and object detection computer vision methods to extract data on persons, bicycles, buildings, sidewalks, open sky (without trees or buildings), and vegetation at postal codes. The associations between urban features and walk-to-work rates obtained from the Canadian Census were assessed. We also assessed how GSV-derived urban features perform in predicting walk-to-work rates relative to more widely used walkability measures. Results showed that features derived from street-level images are better able to predict the percent of people walking to work as their primary mode of transportation compared to data derived from traditional walkability metrics. Given the increasing coverage of street-level imagery around the world, there is considerable potential for machine learning and computer vision to help researchers study patterns of active transportation and other health-related behaviours and exposures.
Journal Article
A new look at weather-related health impacts through functional regression
A major challenge of climate change adaptation is to assess the effect of changing weather on human health. In spite of an increasing literature on the weather-related health subject, many aspect of the relationship are not known, limiting the predictive power of epidemiologic models. The present paper proposes new models to improve the performances of the currently used ones. The proposed models are based on functional data analysis (FDA), a statistical framework dealing with continuous curves instead of scalar time series. The models are applied to the temperature-related cardiovascular mortality issue in Montreal. By making use of the whole information available, the proposed models improve the prediction of cardiovascular mortality according to temperature. In addition, results shed new lights on the relationship by quantifying physiological adaptation effects. These results, not found with classical model, illustrate the potential of FDA approaches.
Journal Article
Stacking functions: identifying motivational frames guiding urban agriculture organizations and businesses in the United States and Canada
While a growing body of scholarship identifies urban agriculture’s broad suite of benefits and drivers, it remains unclear how motivations to engage in urban agriculture (UA) interrelate or how they differ across cities and types of organizations. In this paper, we draw on survey responses collected from more than 250 UA organizations and businesses from 84 cities across the United States and Canada. Synthesizing the results of our quantitative analysis of responses (including principal components analysis), qualitative analysis of textual data excerpted from open-ended responses, and a review of existing literature, we describe six motivational frames that appear to guide organizations and businesses in their UA practice: Entrepreneurial, Sustainable Development, Educational, Eco-Centric, DIY Secessionist, and Radical. Identifying how practitioners stack functions and frame their work is a first step in helping to differentiate the diverse and often contradictory efforts transforming urban food environments. We demonstrate that a wide range of objectives drive UA and that political orientations and discourses differ by geography, organizational type and size, and funding regime. These six paradigms provide a basic framework for understanding UA that can guide more in-depth studies of the gap between intentions and outcomes, while helping link historically and geographically specific insights to wider social and political economic processes.
Journal Article
Are current research funding structures sufficient to address rapid Arctic change in a meaningful way?
Arctic environmental changes already impact regional ecosystems, economies and northern communities, and are having increasing influence on many aspects of the global system. Interest in the Arctic has increased in concert with our improved awareness of potential changes; however, research funding has not necessarily kept pace with the need to improve our understanding of Arctic system change to inform evidence-based decision making. Analyses of data on research funding trends (2003-14) in Canada, the USA and the EU indicate that less than 3% of the total budget the funding agencies considered is allocated in any given year to Arctic-related research. Furthermore, alignment is uneven among established scientific research priorities, existing societal needs and projects awarded funding. New support mechanisms and improved alignment among resources, expertise and priorities, including Indigenous research priorities, are vital to planning and adaptation in the face of ongoing Arctic change.
Journal Article
Drawing lines in the cornfield: an analysis of discourse and identity relations across agri-food networks
In this article, I analyze discourse and identity relations within so-called ‘conventional’ agri-food networks as well as how the conventional sphere perceives, constructs and responds to alternative food movements in Canada. The paper is structured around three primary research questions: (1) How are conventional actors understanding conditions, changes, and challenges within conventional networks? (2) How do conventional actors apply this understanding in advancing conventional interests and discourses, and defending conventional networks? (3) How do conventional actors and discourse construct AFMs? For this research, I draw from survey, focus group, and in-depth interview data alongside text analysis from online sources. I elucidate the interests and motivations behind the identities, stories and messages emerging from the conventional sphere. I conclude that relationship building and communication between diverse agri-food actors may help to expand the range of agricultural knowledge, philosophies and solutions available to farmers, especially those whom are currently quite divided.
Journal Article