555 research outputs found
Climate Change and Critical Agrarian Studies
Climate change is perhaps the greatest threat to humanity today and plays out as a cruel engine of myriad forms of injustice, violence and destruction. The effects of climate change from human-made emissions of greenhouse gases are devastating and accelerating; yet are uncertain and uneven both in terms of geography and socio-economic impacts. Emerging from the dynamics of capitalism since the industrial revolution — as well as industrialisation under state-led socialism — the consequences of climate change are especially profound for the countryside and its inhabitants. The book interrogates the narratives and strategies that frame climate change and examines the institutionalised responses in agrarian settings, highlighting what exclusions and inclusions result. It explores how different people — in relation to class and other co-constituted axes of social difference such as gender, race, ethnicity, age and occupation — are affected by climate change, as well as the climate adaptation and mitigation responses being implemented in rural areas. The book in turn explores how climate change – and the responses to it - affect processes of social differentiation, trajectories of accumulation and in turn agrarian politics. Finally, the book examines what strategies are required to confront climate change, and the underlying political-economic dynamics that cause it, reflecting on what this means for agrarian struggles across the world. The 26 chapters in this volume explore how the relationship between capitalism and climate change plays out in the rural world and, in particular, the way agrarian struggles connect with the huge challenge of climate change. Through a huge variety of case studies alongside more conceptual chapters, the book makes the often-missing connection between climate change and critical agrarian studies. The book argues that making the connection between climate and agrarian justice is crucial
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Policy options for food system transformation in Africa and the role of science, technology and innovation
As recognized by the Science, Technology and Innovation Strategy for Africa – 2024 (STISA-2024), science, technology and innovation (STI) offer many opportunities for addressing the main constraints to embracing transformation in Africa, while important lessons can be learned from successful interventions, including policy and institutional innovations, from those African countries that have already made significant progress towards food system transformation. This chapter identifies opportunities for African countries and the region to take proactive steps to harness the potential of the food and agriculture sector so as to ensure future food and nutrition security by applying STI solutions and by drawing on transformational policy and institutional innovations across the continent. Potential game-changing solutions and innovations for food system transformation serving people and ecology apply to (a) raising production efficiency and restoring and sustainably managing degraded resources; (b) finding innovation in the storage, processing and packaging of foods; (c) improving human nutrition and health; (d) addressing equity and vulnerability at the community and ecosystem levels; and (e) establishing preparedness and accountability systems. To be effective in these areas will require institutional coordination; clear, food safety and health-conscious regulatory environments; greater and timely access to information; and transparent monitoring and accountability systems
30th European Congress on Obesity (ECO 2023)
This is the abstract book of 30th European Congress on Obesity (ECO 2023
Northeastern Illinois University, Academic Catalog 2023-2024
https://neiudc.neiu.edu/catalogs/1064/thumbnail.jp
Science and Innovations for Food Systems Transformation
This Open Access book compiles the findings of the Scientific Group of the United Nations Food Systems Summit 2021 and its research partners. The Scientific Group was an independent group of 28 food systems scientists from all over the world with a mandate from the Deputy Secretary-General of the United Nations. The chapters provide science- and research-based, state-of-the-art, solution-oriented knowledge and evidence to inform the transformation of contemporary food systems in order to achieve more sustainable, equitable and resilient systems
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Healthy Diet: A Definition for the United Nations Food Systems Summit 2021
INSAM Journal of Contemporary Music, Art and Technology 10 (I/2023)
Having in mind the foundational idea not only of our Journal but also the INSAM Institute itself, the main theme of this issue is titled “Technological Aspects of Contemporary Artistic and Scientific Research”. This theme was recognized as important, timely, and necessary by a number of authors coming from various disciplines.
The (Inter)Views section brings us three diverse pieces; the issue is opened by Aida Adžović’s interview with the legendary Slovene act Laibach regarding their performance of the Wir sing das Volk project at the Sarajevo National Theater on May 9, 2023. Following this, Marija Mitrović prepared an interview with media artist Leon Eckard, concerning this artist’s views on contemporary art and the interaction between technology and human sensitivity. An essay by Alexander Liebermann on the early 20th-century composer Erwin Schulhoff, whose search for a unique personal voice could be encouraging in any given period, closes this rubric.
The Main theme section contains seven scientific articles. In the first one, Filipa MagalhĂŁes, InĂŞs Filipe, Mariana Silva and Henrique Carvalho explore the process and details of technological and artistic challenges of reviving the music theater work FE...DE...RI...CO... (1987) by Constança Capdeville. The second article, written by Milan Milojković, is dedicated to the analysis of historical composer Vojislav VuÄŤković and his ChatGPT-generated doppelganger and opera. The fictional narrative woven around the actual historical figure served as an example of the current possibilities of AI in the domain of musicological work. In the next paper, LuĂs Arandas, Miguel Carvalhais and Mick Grierson expand on their work on the film Irreplaceable Biography, which was created via language-guided generative models in audiovisual production. Thomas Moore focuses on the Belgium-based Nadar Ensemble and discusses the ways in which the performers of the ensemble understand the concept of the integrated concert and distinguish themselves from it, specifying the broadening of performers’ competencies and responsibilities. In her paper, Dana Papachristou contributes to the discussion on the politics of connectivity based on the examination of three projects: the online project Xenakis Networked Performance Marathon 2022, 2023Eleusis Mystery 91_Magnetic Dance in Elefsina European Capital of Culture, and Spaces of Reflection offline PirateBox network in the 10th Berlin Biennale. The penultimate article in the section is written by Kenrick Ho and presents us with the author’s composition Flou for solo violin through the prism of the relationship between (historically present) algorithmic processes, the composer, and the performer. Finally, Rijad KaniĹľa adds to the critical discourse on the reshaping of the musical experience via technology and the understanding of said technology using the example of musique concrète.
In the final Review section, Bakir Memišević gives an overview of the 13th International Symposium “Music in Society” that was held in Sarajevo in December 2022
Machine Learning Algorithm for the Scansion of Old Saxon Poetry
Several scholars designed tools to perform the automatic scansion of poetry in many languages, but none of these tools
deal with Old Saxon or Old English. This project aims to be a first attempt to create a tool for these languages. We
implemented a Bidirectional Long Short-Term Memory (BiLSTM) model to perform the automatic scansion of Old Saxon
and Old English poems. Since this model uses supervised learning, we manually annotated the Heliand manuscript, and
we used the resulting corpus as labeled dataset to train the model. The evaluation of the performance of the algorithm
reached a 97% for the accuracy and a 99% of weighted average for precision, recall and F1 Score. In addition, we tested
the model with some verses from the Old Saxon Genesis and some from The Battle of Brunanburh, and we observed that
the model predicted almost all Old Saxon metrical patterns correctly misclassified the majority of the Old English input
verses
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