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Ensuring Access to Safe and Nutritious Food for All Through the Transformation of Food Systems
Corporate Social Responsibility: the institutionalization of ESG
Understanding the impact of Corporate Social Responsibility (CSR) on firm performance as it relates to industries reliant on technological innovation is a complex and perpetually evolving challenge. To thoroughly investigate this topic, this dissertation will adopt an economics-based structure to address three primary hypotheses. This structure allows for each hypothesis to essentially be a standalone empirical paper, unified by an overall analysis of the nature of impact that ESG has on firm performance. The first hypothesis explores the evolution of CSR to the modern quantified iteration of ESG has led to the institutionalization and standardization of the CSR concept. The second hypothesis fills gaps in existing literature testing the relationship between firm performance and ESG by finding that the relationship is significantly positive in long-term, strategic metrics (ROA and ROIC) and that there is no correlation in short-term metrics (ROE and ROS). Finally, the third hypothesis states that if a firm has a long-term strategic ESG plan, as proxied by the publication of CSR reports, then it is more resilience to damage from controversies. This is supported by the finding that pro-ESG firms consistently fared better than their counterparts in both financial and ESG performance, even in the event of a controversy. However, firms with consistent reporting are also held to a higher standard than their nonreporting peers, suggesting a higher risk and higher reward dynamic. These findings support the theory of good management, in that long-term strategic planning is both immediately economically beneficial and serves as a means of risk management and social impact mitigation. Overall, this contributes to the literature by fillings gaps in the nature of impact that ESG has on firm performance, particularly from a management perspective
Implementing Health Impact Assessment as a Required Component of Government Policymaking: A Multi-Level Exploration of the Determinants of Healthy Public Policy
It is widely understood that the public policies of ‘non-health’ government sectors have greater impacts on population health than those of the traditional healthcare realm. Health Impact Assessment (HIA) is a decision support tool that identifies and promotes the health benefits of policies while also mitigating their unintended negative consequences. Despite numerous calls to do so, the Ontario government has yet to implement HIA as a required component of policy development. This dissertation therefore sought to identify the contexts and factors that may both enable and impede HIA use at the sub-national (i.e., provincial, territorial, or state) government level.
The three integrated articles of this dissertation provide insights into specific aspects of the policy process as they relate to HIA. Chapter one details a case study of purposive information-seeking among public servants within Ontario’s Ministry of Education (MOE). Situated within Ontario’s Ministry of Health (MOH), chapter two presents a case study of policy collaboration between health and ‘non-health’ ministries. Finally, chapter three details a framework analysis of the political factors supporting health impact tool use in two sub-national jurisdictions – namely, Québec and South Australia.
MOE respondents (N=9) identified four components of policymaking ‘due diligence’, including evidence retrieval, consultation and collaboration, referencing, and risk analysis. As prospective HIA users, they also confirmed that information is not routinely sought to mitigate the potential negative health impacts of education-based policies. MOH respondents (N=8) identified the bureaucratic hierarchy as the brokering mechanism for inter-ministerial policy development. As prospective HIA stewards, they also confirmed that the ministry does not proactively flag the potential negative health impacts of non-health sector policies. Finally, ‘lessons learned’ from case articles specific to Québec (n=12) and South Australia (n=17) identified the political factors supporting tool use at different stages of the policy cycle, including agenda setting (‘policy elites’ and ‘political culture’), implementation (‘jurisdiction’), and sustained implementation (‘institutional power’).
This work provides important insights into ‘real life’ policymaking. By highlighting existing facilitators of and barriers to HIA use, the findings offer a useful starting point from which proponents may tailor context-specific strategies to sustainably implement HIA at the sub-national government level
Learning disentangled speech representations
A variety of informational factors are contained within the speech signal and a single short recording of speech reveals much more than the spoken words. The best method to extract and represent informational factors from the speech signal ultimately depends on which informational factors are desired and how they will be used. In addition, sometimes methods will capture more than one informational factor at the same time such as speaker identity, spoken content, and speaker prosody.
The goal of this dissertation is to explore different ways to deconstruct the speech signal into abstract representations that can be learned and later reused in various speech technology tasks. This task of deconstructing, also known as disentanglement, is a form of distributed representation learning. As a general approach to disentanglement, there are some guiding principles that elaborate what a learned representation should contain as well as how it should function. In particular, learned representations should contain all of the requisite information in a more compact manner, be interpretable, remove nuisance factors of irrelevant information, be useful in downstream tasks, and independent of the task at hand. The learned representations should also be able to answer counter-factual questions.
In some cases, learned speech representations can be re-assembled in different ways according to the requirements of downstream applications. For example, in a voice conversion task, the speech content is retained while the speaker identity is changed. And in a content-privacy task, some targeted content may be concealed without affecting how surrounding words sound. While there is no single-best method to disentangle all types of factors, some end-to-end approaches demonstrate a promising degree of generalization to diverse speech tasks.
This thesis explores a variety of use-cases for disentangled representations including phone recognition, speaker diarization, linguistic code-switching, voice conversion, and content-based privacy masking. Speech representations can also be utilised for automatically assessing the quality and authenticity of speech, such as automatic MOS ratings or detecting deep fakes. The meaning of the term "disentanglement" is not well defined in previous work, and it has acquired several meanings depending on the domain (e.g. image vs. speech). Sometimes the term "disentanglement" is used interchangeably with the term "factorization". This thesis proposes that disentanglement of speech is distinct, and offers a viewpoint of disentanglement that can be considered both theoretically and practically
Full Issue: Journal on Empowering Teaching Excellence, Volume 6, Issue 1, Spring 2022
The full-length 2022 Special Issue (Volume 5, Issue 3) of the Journal on Empowering Teaching Excellence
Access the online Pressbooks version (with downloadable EPUB format) here.
The Spring 2022 issue begins with research that explores the perceptions of pre-service teachers relative to learning mathematics and science, with suggestions for how findings can impact curriculum and further research. The focus on pre-service teachers continues with research into their sense of self-efficacy with instructional technologies and whether specific techniques increase comfort level with technologies. Next, researchers explore the products that Generation Z students value most in their learning of a second language, including practical language application and engagement with the language culture and its native speakers. Then, college-level educators share a process for implementing problem-based learning (PBL) in higher education, exploring four main ideas of PBL and the role of the educator in its implementation
Assessing Agroecological Principles at the Intervale in Burlington, Vermont: A Case Study and Multimethod Research with a Participatory Approach in a Peri-Urban Socioecological System
The emerging field of urban agroecology promises to mend the prevalent unsustainable rupture between rural and urban/peri-urban agri-food endeavors since global industrial conglomerates took power. My research contributes to the efforts of mending this rupture by, first, advancing the academic discussion on how to fill an evidence-based gap on the use of the much theorized multidimensional and cross-disciplinary principles of agroecology to assess community-based agri-food systems beyond the farm level. To do so, my research uses the fifteen principles of agroecology proposed by the non-profit Coopération Internationale pour le Développement et la Solidarité (CIDSE, 2018). Second, my research expands the understanding of how these agroecological principles may be put into practice in different cases and scenarios, especially in urbanized environments. This investigation uses a single significant case study methodology to share a place-based experience as a possible example of urban agroecology. The case study is a 340-acre information-rich peri-urban organic agroecosystem in Burlington, Vermont, owned and managed by the Intervale Center. My research investigates how the Intervale, a non-profit organization and socioecological system, may be practicing agroecology and consider opportunities to strengthen such practices. My investigation involves a principles-focused and context-sensitive baseline assessment (inspired by Patton, 2018) using a qualitative multimethod framework and a participatory action research (PAR) approach. The multimethod framework triangulates a 'practical' PAR stream of inquiry for the co-creation of knowledge with a purposive sample of participants (semi-structured interviews with visual tools such as CIDSEs agroecological principles infographic, site mapping, and photovoicing) and a 'theoretical' stream where the researcher connects theory to practice (participatory observation, photo-documentation, and document analysis) for an integrated analysis. According to observations and participants' responses, the Intervale follows agroecological principles. The collective practices related to the agroecological principles of strengthening local food producers and community and nourishing biodiversity and soils are most prevalent at the Intervale. The organization also plays a noticeable role under the principle of enhancing the power of the local market and building on a social and solidarity economy. There are also some specific areas of intervention in the organizations operations to achieve higher levels of agroecological transformation, especially under the principles of fostering more diversity and solidarity, encouraging stronger participation of food producers, and promoting more farmer-to-farmer exchanges. Conclusively, this research reduces the evidence-based gap between the theory supporting a set of agroecological principles and their application beyond the farm level and in an urbanized setting. The comprehensive methodology and the results illuminate how the Intervale's placed-based practices could serve as an example to advance urban agroecology in North America and even other regions
Science Fiction, Radical Democracy, and World Building: A Pedagogy of Unknowable Futures
The unknowability of the future implicates everyone, yet the narratives of mastery which shape pedagogical approaches to the future do not allow students the opportunity to explore the uncertainty that comes from ultimately unknowable futures. This dissertation therefore foregrounds the exploration of uncertainty by envisioning science fictional, collaborative world building as a space in which students can imagine contested views of the future that move beyond predicting future problems. This study occurred in two stages: first, a reflexive ethnography framed within participatory action research in one secondary-level English classroom over three months, which involved exploring science fiction (SF) with students who then mobilized science fictional storytelling to collaboratively imagine the future of Toronto; and second, a world building assignment that was designed and informed by findings from stage one and used with pre-service teachers in order to facilitate speculative pedagogical explorations as they imagined myriad potential futures of society and schooling through SF. In stage one, various qualitative methods were used to explore students engagement with SF, the future, and storytelling, including observations and fieldnotes, a questionnaire on students thoughts on the future, semi-structured group interviews, in-class discussions, and contributions to the collaborative world building project. Data is analyzed through thematic analysis, discourse analysis, and critical theories to gain a deeper understanding of issues of representation, power, and intersectionality in students engagement with one another throughout the project, in pursuit of understanding how students envisioned a collective, contested future together. In stage two, pre-service teachers world building work is analyzed through thematic analysis, with particular attention to the development of speculative pedagogies which centre futures that are open and uncertain. Informed by thinking on radically democratic pedagogy, poststructuralism, and critical theory, in addition to genre studies within SF scholarship, this study contributes to a reframing of the future within education by moving away from the goal of mastering unknowable futures, and instead towards engaging in a collectively constructed exploration of uncertainty, and further positions SF as a promising and largely untapped resource integral to narratively navigating challenge and change
Conjunctures in Law and Development: Assemblages for Progress in Indian Agricultural Futures
This dissertation asks: how are the legal, political, and social legacies of the Green Revolution and India's incorporation into the global knowledge economy shaping or undermining the emergent discourses, practices, and regulatory rationalities of India's current Climate Smart Agriculture development initiatives? To answer this question, I construct a theoretical/methodological framework that brings together conjunctural analysis, assemblage theory, Foucaultian governmentality, and transnational legal pluralism. I identify two previous historical eras of significant agricultural and developmental change in India: the Green Revolution (1950s-early 1970s) and the liberalization of Indian agriculture as part of India's broader incorporation into the global knowledge economy (1991-mid 2000s). I study the historical relationship between the modern Indian state and Indian farmers across these eras of agricultural and developmental transformation to investigate how they are informing current Climate Smart Agriculture programs, how these contemporary programs work, and the extent to which these programs and the political struggles they incite represent a new historical phase of state power in India. I argue that Climate Smart Agriculture programs and the accompanying introduction of Big Data technology in Indian agriculture should not be understood as a singular event or a unique and novel initiative, but as the most recent project of governmentality mediating the relationship between the Indian state and Indian farmers. This dissertation further shows how relationships between states in the Global South and farmers are shaped by the interplay of technologies (understood both conventionally and in the Foucaultian sense) that are constructed and regulated through the law. I simultaneously demonstrate how the entwined processes of postcolonial state- and subject-making in the domains of agriculture and development always invokes forms of resistance that often result in contradictory regulatory outcomes, which continue to establish the conditions for future political contestation. This dissertation contributes to the field of Socio-legal Studies at large, and the subfields of Law and Development, Law and Globalization/TWAIL, and Green Criminology
MIXING IT UP: THE IMPACT OF EPISODIC INTROGRESSION ON THE EVOLUTION OF HIGH-LATITUDE MESOCARNIVORES
At high latitudes, climatic oscillations have triggered repeated episodes of organismal divergence by geographically isolating populations. For terrestrial species, extended isolation in glacial refugia – ice-free regions that enable terrestrial species persistence through glacial maxima – is hypothesized to stimulate allopatric divergence. Alternatively, upon glacial recession, divergent populations expanded from independent glacial refugia and often contacted other diverging populations. In the absence of reproductive isolating mechanisms, this biogeographic process may trigger hybridization and ultimately, gene flow between divergent taxa. My dissertation research aims to understand how these episodic periods of isolation and contact have impacted the evolution of high latitude species. To understand the role of episodic isolation and gene flow on the evolution and diversification of high-latitude species, my dissertation integrates genetic, genomic, and morphometric characters across multiple high-latitude mesocarnivore mammals within the hyper-diverse Mustelidae family. Overall, I identified substantial cryptic diversity in the Arctic and highlight the complementary roles of glacial and interglacial cycles in the evolution and structuring of high latitude biota
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