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2023 research outputs found
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A Note from the Editors
No full textA Note from the Editors
Dear Reader,
Through the amazing patience, perseverance, and flexibility of our authors, reviewers, and editing committee, the editorial team of the Waterloo Historical Review is happy to announce the long–awaited arrival 2023-2024 edition of the journal. We extend a heartfelt thank you to our authors and reviewers to sticking with us through a chaotic and educational period of review, revision, and growth.
Our very best, The Editor
Parametrized Dataset Generator for the Classification of Ice Hockey Power Plays
No full textThe advent of deep learning tools has significantly
enhanced researchers’ capabilities in analyzing
spatio-temporal data. This type of data analysis
holds relevance across various domains.
Improving the ability to identify and cluster patterns
within sporting events has profound implications.
It can aid in automatic highlight detection
and is especially beneficial for coaching, particularly
in underfunded and minor leagues. While the insights
presented in this paper can be applied to numerous
team sports, our focus primarily lies on ice
hockey. In this paper, we make three significant contributions:
we introduce a simple, parametrized ice
hockey formation dataset generator facilitating the
development and benchmarking of baseline models;
we investigate the impact of noise from the
dataset on the accuracy of event classification; and
we compare the accuracies of three models: KNearest-
Neighbors, Graph Networks, and Convolutional
Neural Networks
Using Mixture of Experts to Fine-Tune Robotic Video Transformers
No full textVideo generation models have recently showcased impressive results, generating high quality visual features with realistic physics and motion. Such video generators are intriguing for robotics because after fine-tuning to the robotic embodiment, have the potential to serve as generalizable world models and real-world simulators. Among video generation approaches, masked video transformers provide a computationally efficient alternative to diffusion-based methods. Building on recent successes of Mixture of Experts (MoE) in transformer architectures, we propose a novel approach to improve pre-trained robotic video transformers using sparsely gated MoE. Our method replaces the feedforward layers of the transformer block with sparely gated MoE layers. We also introduce an innovative weight initialization scheme that improves training convergence while fine-tuning masked video transformers. We evaluate our method on the 1xgpt humanoid robotic dataset, demonstrating improvements in both cross-entropy loss (0.07 reduction) and LPIPS scores (0.007 reduction). Our findings suggest that MoE-based fine-tuning with strategic weight initialization can enhance the performance of robotic video transformers while maintaining computational efficiency through sparse expert activation
Changement de nom de lieu et SIG : Une revue de la littérature récente
No full textThis article reviews some of the recent literature on how GIS relates to toponymy in general and, more specifically, to changing place names. It reviews articles on Indigenous names and commemorative place names while considering some of the main reasons place names are revised, such as linguistic and political change in a region. It reviews articles describing settler names in North America and considers questions of gender equity in place names
Conférence
No full textAt the Confluence: Maps and spatial technologies at the convergence of disciplines, methodologies, and practice
June 11-13 | Queen\u27s University | Kingston, O
Exploring Digital Inclusion in Loíza, Puerto Rico: Evidence from the Project OCEBAL
No full textFor over a decade, federal and state government, as well as nongovernmental organizations in the United States, have asserted the goal of digital equity as necessary for civic, economic, and political participation in society. This study adopts a quantitative approach to explore the project OVERCOME21: ConnectED2Health: Expanding Broadband Access to Loiza, Puerto Rico. This project was organized by US Ignite in partnership with Libraries Without Borders US. The analysis focuses on exploring three themes: 1) Access and adoption to internet services, 2) Availability of internet-enabled devices to support users’ online activities, and 3) Digital literacy. A pre-survey (ex-ante) and post-survey (post-ante) were administered before and after access to internet services and digital literacy and agile learning workshops. Households and individuals at selected communities were the analysis units for the pre-survey sample (n = 98), and post-survey sample (n = 80). Ex-ante findings show that most participants were single females who identified themselves as black or African American, and high school (46.4%) was the highest level of education. One-third of participants didn’t have internet service and reported an annual income of less than $15,000. Additionally, most participants (72.6%) didn’t know the term digital literacy, nor had they participated in a digital literacy workshop (82.5%). After digital literacy workshops ex-post data showed that more than half (71.2%) of participants knew the term digital literacy, and more than half (58.2%) had participated in a digital literacy workshop organized by the project. Ex-ante and post-ante data showed that most participants (95%) didn’t use broadband internet services for telehealth services, and over 50% of participants expressed concerns about the safety of personal information. Although data collection results are not representative of selected communities, research findings serve to contextualize digital equity and digital literacy initiatives as well as contributing to a research topic with social and public policy implications. 
7. “I am daughterhood, but I\u27m non-binary” : Mothers and Daughters on Gender, the Family and their Feminist Futures
No full textThis paper draws from a qualitative, in-depth interview study I conducted with eleven self-identified activist daughters (age 11 – 20) and their mothers/mother figures. I focus on how trans-inclusive feminisms and more flexible notions of gender became recurring themes across these interviews as mothers and daughters experienced intergenerational conflict and collaboration when they imagined what the mother-daughter relationship could look like in a feminist future. Across both trans and cisgender participants, it was through their intergenerational relationships as mothers, daughters, friends, and siblings that they were moved to not only think differently about gender but also make political commitments to make the world better. I turn to feminist affect theory to analyze how mothers and daughters stretch and reify the familiar borders of “mother” and “daughter” as they desire feminist futures but struggle with the cruel optimism of striving for a future they may never reach
