scholarly journals Conceptualisation of Youth Sociality in Post­Subcultural Research: Neo­Tribes Theory

2015 ◽  
pp. 24-28
Author(s):  
Elena I. Bulatova
Keyword(s):  
Cultural Studies ◽  
Research Subject ◽  
Traditional Concept ◽  
The Core ◽  
Core Idea

Investigates the approaches to conceptualising youth cultural studies within the post­subcultural theory. The author argues that the core idea of post­subcultural paradigm is the doubt in the metanarrative of “subculture.” In this situation, the heuristic potential of the new categorical apparatus designed to replace the traditional concept of “subculture” becomes a research subject.

Sustainable Development is a Dead-End: The Logic of Modernity and Ecological Crisis

2020 ◽  
Author(s):  
Simon Lumsden
Keyword(s):  
Sustainable Development ◽  
Ecological Crisis ◽  
Self Determination ◽  
Ecological Sustainability ◽  
Planetary Boundaries ◽  
Western Modernity ◽  
Conceptual Frame ◽  
The Core ◽  
Dead End ◽  
Core Idea

This paper examines the theory of sustainable development presented by Jeffrey Sachs in The Age of Sustainable Development. While Sustainable Development ostensibly seeks to harmonise the conflict between ecological sustainability and human development, the paper argues this is impossible because of the conceptual frame it employs. Rather than allowing for a re-conceptualisation of the human–nature relation, Sustainable Development is simply the latest and possibly last attempt to advance the core idea of western modernity — the notion of self-determination. Drawing upon Hegel’s account of historical development it is argued that Sustainable Development and the notion of planetary boundaries cannot break out of a dualism of nature and self-determining agents.

scholarly journals Semi-Supervised Noisy Label Learning for Chinese Medical Named Entity Recognition

2021 ◽  
pp. 1-10
Author(s):  
Zhucong Li ◽  
Zhen Gan ◽  
Baoli Zhang ◽  
Yubo Chen ◽  
Jing Wan ◽  
...  
Keyword(s):  
Hybrid System ◽  
Named Entity Recognition ◽  
Entity Recognition ◽  
Final Test ◽  
Named Entity ◽  
The Core ◽  
Category Labels ◽  
Adversarial Training ◽  
Core Idea ◽  
The Impact

Abstract This paper describes our approach for the Chinese Medical named entity recognition(MER) task organized by the 2020 China conference on knowledge graph and semantic computing(CCKS) competition. In this task, we need to identify the entity boundary and category labels of six entities from Chinese electronic medical record(EMR). We construct a hybrid system composed of a semi-supervised noisy label learning model based on adversarial training and a rule postprocessing module. The core idea of the hybrid system is to reduce the impact of data noise by optimizing the model results. Besides, we use post-processing rules to correct three cases of redundant labeling, missing labeling, and wrong labeling in the model prediction results. Our method proposed in this paper achieved strict criteria of 0.9156 and relax criteria of 0.9660 on the final test set, ranking first.

scholarly journals Automatic Inference of Sound Correspondence Patterns Across Multiple Languages

2018 ◽  
Author(s):  
Johann-Mattis List
Keyword(s):  
Pattern Recognition ◽  
Graph Theory ◽  
Crucial Role ◽  
Phylogenetic Reconstruction ◽  
Automatic Method ◽  
Network Approach ◽  
The Core ◽  
Cover Problem ◽  
Core Idea ◽  
Multiple Languages

Sound correspondence patterns play a crucial role for linguistic reconstruction. Linguists use them to prove language relationship, to reconstruct proto-forms, and for classical phylogenetic reconstruction based on shared innovations. Cognate words which fail to conform with expected patterns can further point to various kinds of exceptions in sound change, such as analogy or assimilation of frequent words. Here we present an automatic method for the inference of sound correspondence patterns across multiple languages based on a network approach. The core idea is to represent all columns in aligned cognate sets as nodes in a network with edges representing the degree of compatibility between the nodes. The task of inferring all compatible correspondence sets can then be handled as the well-known minimum clique cover problem in graph theory, which essentially seeks to split the graph into the smallest number of cliques in which each node is represented by exactly one clique. The resulting partitions represent all correspondence patterns which can be inferred for a given dataset. By excluding those patterns which occur in only a few cognate sets, the core of regularly recurring sound correspondences can be inferred. Based on this idea, the paper presents a method for automatic correspondence pattern recognition, which is implemented as part of a Python library which supplements the paper. To illustrate the usefulness of the method, we present how the inferred patterns can be used to predict words that have not been observed before.

scholarly journals Asymmetric Distribution Measure for Few-shot Learning

2020 ◽  
Author(s):  
Wenbin Li ◽  
Lei Wang ◽  
Jing Huo ◽  
Yinghuan Shi ◽  
Yang Gao ◽  
...  
Keyword(s):  
State Of The Art ◽  
Asymmetric Distribution ◽  
Query Image ◽  
Local Descriptor ◽  
Innovative Design ◽  
Feature Representations ◽  
The Core ◽  
Measure Function ◽  
Asymmetric Relation ◽  
Core Idea

The core idea of metric-based few-shot image classification is to directly measure the relations between query images and support classes to learn transferable feature embeddings. Previous work mainly focuses on image-level feature representations, which actually cannot effectively estimate a class's distribution due to the scarcity of samples. Some recent work shows that local descriptor based representations can achieve richer representations than image-level based representations. However, such works are still based on a less effective instance-level metric, especially a symmetric metric, to measure the relation between a query image and a support class. Given the natural asymmetric relation between a query image and a support class, we argue that an asymmetric measure is more suitable for metric-based few-shot learning. To that end, we propose a novel Asymmetric Distribution Measure (ADM) network for few-shot learning by calculating a joint local and global asymmetric measure between two multivariate local distributions of a query and a class. Moreover, a task-aware Contrastive Measure Strategy (CMS) is proposed to further enhance the measure function. On popular miniImageNet and tieredImageNet, ADM can achieve the state-of-the-art results, validating our innovative design of asymmetric distribution measures for few-shot learning. The source code can be downloaded from https://github.com/WenbinLee/ADM.git.

scholarly journals Getting To The Core:

2020 ◽  
Vol 18 (1) ◽  
pp. 73-83
Author(s):  
Marie-Anne Kohl
Keyword(s):  
Cultural Studies ◽  
North American ◽  
Song Cycle ◽  
American Identity ◽  
The Core ◽  
Specific Concept ◽  
And Performance

This article discusses the construction and representation of nature in the composition and performance of Meredith Monk’s song cycle “Facing North” by analyzing the quality of the performing voices, their physicality, and by bringing them into relation to the associations and contexts evoked by the songs’ titles. Based on voice and nature concepts in cultural studies, this article argues that this approach creates a very specific concept of nature, which is artistic and artificial at the same time. Through contextualising the concept of nature established in “Facing North” with a specific, gendered construction of nature as basis of a narrative of North American identity as depicted by musicologist Denise Von Glahn, it becomes evident how the composition and performance of “Facing North” at once accord with and oppose to a gendered concept of nature.

scholarly journals Keadilan Hukum Jeremy Bentham dan Relevansinya bagi Praktik Hukum Kontemporer

Humaniora ◽  
2012 ◽  
Vol 3 (1) ◽  
pp. 299
Author(s):  
Frederikus Fios
Keyword(s):  
Global Politics ◽  
Jeremy Bentham ◽  
Ideal Model ◽  
The Core ◽  
The Subject ◽  
Core Idea ◽  
The Universe ◽  
Universe Of Discourse ◽  
British Philosopher ◽  
The Ideal

Fair punishment for a condemned has been long debated in the universe of discourse of law and global politics. The debate on the philosophical level was no less lively. Many schools of thought philosophy question, investigate, reflect and assess systematically the ideal model for the subject just punishment in violation of the law. One of the interesting and urgent legal thought Jeremy Bentham, a British philosopher renowned trying to provide a solution in the middle of the debate was the doctrine or theory of utilitarianism. The core idea is that the fair punishment should be a concern for happiness of a condemned itself, and not just for revenge. Bentham thought has relevance in several dimensions such as dimensions of humanism, moral and utility.  

Triage

2013 ◽  
Author(s):  
Emilie M. Hafner-Burton
Keyword(s):  
Human Rights ◽  
Legal Reform ◽  
International Human Rights ◽  
Human Rights Protection ◽  
Rights Protection ◽  
Effective Implementation ◽  
The Core ◽  
International Human ◽  
Core Idea ◽  
Human Rights Norms

This chapter advocates a process called “triage” for resource allocation that requires investing more heavily in areas where the evidence indicates that human rights promotion is most likely to work. It argues that the universality of human rights norms, which are the bedrock of the international human rights legal system and the core idea of the Universal Declaration of Human Rights, is not a tenable guide for the most effective implementation of human rights norms. It explains why human rights is a matter of national interest and how assessments of leverage impact human rights. It shows how triage can help stewards in the area of international legal reform and concludes by outlining steps that could transform the process through which government stewards work to protect human rights and increase the returns on international promotion efforts for human rights protection.

Stacked filters

2020 ◽  
Vol 14 (4) ◽  
pp. 600-612
Author(s):  
Kyle Deeds ◽  
Brian Hentschel ◽  
Stratos Idreos
Keyword(s):  
False Positive ◽  
The Core ◽  
End To End ◽  
Core Idea ◽  
Better Than

We present Stacked Filters, a new probabilistic filter which is fast and robust similar to query-agnostic filters (such as Bloom and Cuckoo filters), and at the same time brings low false positive rates and sizes similar to classifier-based filters (such as Learned Filters). The core idea is that Stacked Filters incorporate workload knowledge about frequently queried non-existing values. Instead of learning, they structurally incorporate that knowledge using hashing and several sequenced filter layers, indexing both data and frequent negatives. Stacked Filters can also gather workload knowledge on-the-fly and adaptively build the filter. We show experimentally that for a given memory budget, Stacked Filters achieve end-to-end query throughput up to 130x better than the best alternative for a workload, either query-agnostic or classifier-based filters, and depending on where data is (SSD or HDD).

Environmental Justice: Making Policy, One Skirmish at a Time

2017 ◽  
Author(s):  
Karen Baehler
Keyword(s):  
Civil Rights ◽  
Environmental Justice ◽  
Local Level ◽  
Environmental Hazards ◽  
Vulnerable Population ◽  
Environmental Discourse ◽  
The Core ◽  
Established Fact ◽  
Core Idea ◽  
Vulnerable Population Groups

Environmental justice refers to both a concept and a social movement that originally spun off from the American civil rights establishment in the 1980s. The core idea focuses on the now well-established fact that members of vulnerable population groups tend to experience disproportionately higher levels of exposure to environmental hazards, less access to green amenities, and fewer opportunities to have their environmental concerns heard and remedied compared to their wealthier and whiter counterparts. Environmental justice terminology is deeply embedded in contemporary environmental discourse and governance in multiple countries, but its ability to alleviate real instances of environmental mal-distribution has been strongest at the local level thanks to the concept’s power to mobilize diverse networks of activists around local causes.

Self-Control, Agency, and the Placebo Brain Stimulation

2020 ◽  
pp. 189-202
Author(s):  
Davide Rigoni ◽  
Naomi Vanlessen ◽  
Rossella Guerini ◽  
Mario De Caro ◽  
Marcel Brass
Keyword(s):  
Brain Stimulation ◽  
Prediction Error ◽  
Metacognitive Knowledge ◽  
Self Control ◽  
Control Beliefs ◽  
Control Performance ◽  
The Core ◽  
Actual Outcome ◽  
Core Idea ◽  
The Relationship

This chapter focuses on the relationship between control beliefs and self-control. After providing an overview of the research showing how control beliefs affect self-control performance, the authors present a novel experimental procedure based on a placebo brain stimulation that aims at altering people’s belief about their own self-control. They then describe a heuristic framework that accounts for belief-related changes in self-control performance. The core idea is that beliefs should be conceptualized as metacognitive knowledge about the self and that such metacognitive knowledge is used to predict the success of self-control behavior. When people form the expectation that they can exert self-control but experience failure, they perceive a discrepancy between their expectation and the actual outcome. Under specific circumstances, the perception of such discrepancy or prediction error will motivate people to exert more effort to match their expectation, which will lead to increased self-control.

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