Concept Of Recognition Research Articles

Appreciation for Agriculture in Public Communication. A Content Analysis of the Influence of the First Lockdown on Reporting About Agriculture in the Mass Media

The call for greater societal appreciation of agriculture has been a recurring theme in recent years, both within and outside the sector. The following article examines the extent to which social value communication can be found in media articles compared to other evaluative statements about agriculture and the effects that occurred at the beginning of the Coronavirus crisis. Using quantitative analysis and based on a theoretical concept of recognition, statements of social esteem and disrespect are collected and contrasted with acceptable and critical statements in issues of the mainstream, regional and farming press in 2019 and 2020 and evaluated in terms of their authorship and references to agricultural issues. In this context, it can be shown that even before the Coronavirus crisis, the level of social esteem accorded to agriculture in public communication was higher than the level of disrespect. It then increased during the first pandemic lockdown, combined with a significantly higher number of references to the issue of security of supply. At the same time, it is clear that the type of statement most often published in the media is not a direct expression of social esteem or disrespect, but rather a perception of disrespect for agriculture. The sources of these statements most often come from the agricultural sector itself.

The limits of recognition

ABSTRACT The concept of recognition has been pivotal in critical theory in recent years. This paper discusses how two goals of a critical theory of recognition – to explain and to morally evaluate social change – are interrelated. In doing so, this paper draws the limits of the concept of struggles for recognition. It is argued that if a social movement can be deemed illegitimate, this movement can no longer be understood as struggling for recognition. This implies that the two goals of a critical theory of recognition cannot be fulfilled simultaneously: a moral standard that distinguishes between legitimate and illegitimate social struggles cannot distinguish between different types of struggles for recognition, but only between struggles for recognition and other types of social struggles. Drawing the limits of the concept of struggles for recognition in this way helps to better distinguish between different types of social struggle and contributes to a more precise understanding of what struggles for recognition entail.

Children who experience misrecognition in primary education: A social justice perspective

AbstractOur research constructed school life histories with 23 ‘lower‐attaining’ primary school children in England. Previous research has often failed to focus on the social justice aspects of this group, and no attempt has been made to contextualise children's misrecognition experiences within their full school life history, nor to hear primarily from children. Our results reveal for the first time the feelings, thinking and actions of lower attainers across 5 years of schooling, in response to the institutionalised practice of grouping by prior attainment. Nancy Fraser's conceptualisation of social justice as parity of participation provides our analysis framework, incorporating concepts of redistribution, recognition and representation. We focus primarily on how some low‐attaining children experience misrecognition. Our results indicate how lower‐attaining children sometimes identify themselves as less worthy, less connected, less similar and less visible than others. This construction allows for less respect to be shown to them and could block the fair distribution of schooling resources, and limit their opportunities for achieving social esteem.

ViObject

Knowing the object grabbed by a hand can offer essential contextual information for interaction between the human and the physical world. This paper presents a novel system, ViObject, for passive object recognition that uses accelerometer and gyroscope sensor data from commodity smartwatches to identify untagged everyday objects. The system relies on the vibrations caused by grabbing objects and does not require additional hardware or human effort. ViObject's ability to recognize objects passively can have important implications for a wide range of applications, from smart home automation to healthcare and assistive technologies. In this paper, we present the design and implementation of ViObject, to address challenges such as motion interference, different object-touching positions, different grasp speeds/pressure, and model customization to new users and new objects. We evaluate the system's performance using a dataset of 20 objects from 20 participants and show that ViObject achieves an average accuracy of 86.4%. We also customize models for new users and new objects, achieving an average accuracy of 90.1%. Overall, ViObject demonstrates a novel technology concept of passive object recognition using commodity smartwatches and opens up new avenues for research and innovation in this area.

Butler, Hegel and the Role of Recognition in Organizations

AbstractIn the past decade, the concept of recognition appears to have acquired an important theoretical position in the work and organization literature. While in principle recognition denotes a positive and social form of freedom, in current-day organizations recognition may be often negative or instrumental. In order to capture this ambivalence in organizational recognitive conditions, the recent work of the American philosopher Judith Butler appears particularly applicable. The purpose of this paper is to explore theoretically to what extent her views on recognition shed new light on the variety of recognition patterns in current-day organizations. Towards that purpose, this paper first turns to the ‘master-slave’ episode in the work of Hegel and its influential interpretation by Kojève, which are at the heart of Butler’s reading and conception of recognition. As a second step, the ambivalent conception of recognition in the work of Butler is discussed and critically assessed, while in the final section this conception is extended to work and organizations.

Surface texture analysis in polycrystalline alloys via an artificial neural network

Surface finish has a significant impact on the properties (e.g., fatigue strength and corrosion resistance) of manufactured products; consequently, industries seek to quantitatively evaluate the surface finish of their products. The surface finish of test specimens, made of the aluminum alloy AL7075−T6, has been measured with a confocal microscope, where the ensemble of collected experimental data has been analyzed by the following four methods of surface texture quantification: (i) arithmetical mean height Sa; (ii) root mean square height Sq; (iii) maximum height Sz; and (iv) ten-points height S10z. This paper addresses automated prediction of surface quality by an artificial neural network (ANN) that has been used to classify the analyzed values of surface textures based on the concept of pattern recognition. The best surface textures are determined by relying on the performance of the ANN model, which depends on the accuracy, precision, recall, and F1-score of the test data. The results show that, for small variations in surface finishing, the test method S10z most accurately predicts quality of surface textures, which is followed by the test method Sa.

Insisting on not being addressed in that way: Ideology, subjection and agency in the context of spatial planning

As planning systems in many countries have faced growing pressure over recent years, this has turned the spotlight on ethical aspects of planning, in particular the roles and identities of planners. Here the notions of ideology and subjection have served as important theoretical resources. However, these lines of thought have rarely been integrated, meaning that most studies on ideology have remained at a macro level of analysis. In response to this lacuna, the present paper uses Althusser’s concept of ideology and Butler’s concept of recognition to examine how planners perceive the scope and limits of their actions. From an ideology- and subjection-theoretical perspective, we analyse excerpts from narrative interviews conducted as part of a research project on the subjection of regional planners in Germany. Specifically, we focus on calls for public participation, using these as a basis to discuss planners’ scope of action and to identify three forms of “insisting on not being addressed in that way” (Judith Butler) at the micro level. They illustrate that interpellation and subjection are not linear, straightforward phenomena, but offer many possibilities for misrecognition or subtle forms of counter-action that could be explored more fully in future empirical research.

Norm critique and the dialectics of Hegelian recognition

Abstract This article examines the relevance of Hegel’s theory of recognition within educational theory and practice in relation to the development of a non-affirmative theory of education. The article argues that Hegel’s theory of recognition can serve as a fruitful starting point for articulating an educational theory that can contribute to the subject’s open-ended formation in modern society. To start with, the article surveys the connection between Hegel’s educational thought and his concept of recognition. Against this backdrop, the article singles out how Hegel’s theory of recognition provides a compelling theory of intersubjectivity that calls attention to the role of norms in personal development and the construction of the social world. In continuation of a non-affirmative principle, it is argued that Hegelian recognition underlines, first, that the subject’s formation can fruitfully be an open-ended and dynamic process and, second, that in order to underpin this process it is necessary to critically assess norms and norm-generating practices within an educational context.

Nonsuicidal self-injury and intersubjective recognition: ‘You can’t argue with wounds’

This article explores the relevance of intersubjective recognition and the ‘recognition theoretical turn’ to our understanding of nonsuicidal self-injury. While previous research has demonstrated that self-injury possesses an important social dimension alongside its intrapsychic characteristics, a major challenge for any social approach to self-injury has been to find a way to describe and analyse this dimension without reductively implying that self-injury is a form of ‘attention-seeking’, where this describes a pejorative accusation of social manipulation. One possible solution to this challenge lies in the concept of intersubjective recognition and the idea that what some have interpreted as ‘attention-seeking’ behaviour is perhaps better understood as recognition-seeking. As such, we draw on data from a 2016–2017 English pilot study to examine three basic questions: (1) does self-injury constitute, at least in some cases and amongst its many other observed intrapsychic and social functions, a form of recognition-seeking? (2) if so, how does self-injury work as a claim to recognition? and (3), how do we solve the apparent contradiction of using a stigmatic mark as a means of claiming a normative status? Our study suggests that one of self-injury’s intersubjective imperatives is the need to be listened to and taken seriously, to have one’s feelings and experiences confirmed by others as being legitimate and valid. As such, intersubjective recognition does appear to form a distinct part of the overdetermined complex of meanings and effects associated with self-injury and may be an important factor in a number of cases.

Mutual Recognition By Private Actors In Criminal Justice? E-Evidence Regulation And Service Providers As The New Guardians Of Fundamental Rights

A large and constantly growing number of criminal offences, not only cybercrime, is committed in a way that leaves digital traces which can serve as evidence. This data is in the possession of service providers, often located in a different country than the place of an investigation. The available model of cross-border gathering of evidence, based on mutual legal assistance, is considered too cumbersome and lengthy for the digital world. Similar reservations have been made as regards the European Investigation Order. In response, the European Commission proposed the so-called e-evidence package in 2018, which – after 5 years of arduous negotiations – was finally adopted on 12 July 2023. Its main element is the European Production Order, an instrument based on mutual recognition which will allow law enforcement authorities in one Member State to request Internet service providers in another Member State to produce data without or with limited involvement of the authorities of the latter State. This new system is effectively a legal revolution which redefines the concept of mutual recognition and creates a model where service providers will play a significant role in safeguarding their users’ fundamental rights. This article examines the paradigm shift caused by this instrument, analyses the dynamics of interaction between the parties involved – in particular the role private actors will play in it – in order to verify the correctness of the legal basis and reveal the consequences of such a new system for transnational cooperation and service providers in the EU.

Nonsense-mediated mRNA decay pathway in plants under stress: general gene regulatory mechanism and advances.

Nonsense-mediated mRNA decay in eukaryotes is vital to cellular homeostasis. Further knowledge of its putative role in plant RNA metabolism under stress is pivotal to developing fitness-optimizing strategies. Nonsense-mediated mRNA decay (NMD), part of the mRNA surveillance pathway, is an evolutionarily conserved form of gene regulation in all living organisms. Degradation of mRNA-bearing premature termination codons and regulation of physiological RNA levels highlight NMD's role in shaping the cellular transcriptome. Initially regarded as purely a tool for cellular RNA quality control, NMD is now considered to mediate various aspects of plant developmental processes and responses to environmental changes. Here we offer a basic understanding of NMD in eukaryotes by explaining the concept of premature termination codon recognition and NMD complex formation. We also provide a detailed overview of the NMD mechanism and its role in gene regulation. The potential role of effectors, including ABCE1, in ribosome recycling during the translation process is also explained. Recent reports of alternatively spliced variants of corresponding genes targeted by NMD inArabidopsis thalianaare provided in tabular format. Detailed figures are also provided to clarify the NMD concept in plants. In particular, accumulating evidence shows that NMD can serve as a novel alternative strategy for genetic manipulation and can help design RNA-based therapies to combat stress in plants. A key point of emphasis is its function as a gene regulatory mechanism as well as its dynamic regulation by environmental and developmental factors. Overall, a detailed molecular understanding of the NMD mechanism can lead to further diverse applications, such as improving cellular homeostasis in living organisms.

"Covalent-Disassembly"-Based Approaches For Sensing Applications.

The detection of analytes with small molecular probes is crucial for the analysis and understanding of chemical, medicinal, environmental and biological situations as well as processes. Classic detection approaches rely on the concept of molecular recognition and bond formation reactions. Bond breakage reactions have been less explored in similar contexts. This concept article introduces metal-salen and metal-imine complexes as "covalent-disassembly"-based (DB)-probes for detecting polyoxophosphates, thiols, amino acids, HCN and changes in pH. It discusses the roles, importance and combinations of structurally functionalized molecular building blocks in the construction of DB-probes. Applications of optimized DB-probes for analyte detection in live cells and foodstuff are also discussed. Furthermore, the mechanism of the disassembly of a Fe(III)-salen probe upon pyrophosphate binding is presented. Extraordinary selectivity for this analyte was achieved by a multistep disassembly sequence including an unprecedented structural change of the metal complex (i. e. "induced-fit" principle). Design principles of probes for sensing applications following the "covalent-disassembly" approach are summarized, which will help improving current systems, but will also facilitate the development of new DB-probes for challenging analytic targets.

Utilizing Classroom Application of Facial Recognition Techniques through Internet of Things (IOT) Devices

In the contemporary era, technology has become an indispensable component of our daily lives, augmenting our existence in manifold ways. Notably, face recognition and Internet of Things (IoT) have undergone significant advancements in performance over the last few years. This phenomenon can be attributed to two factors namely, optimization of cost and time in the classroom, while simultaneously ensuring accuracy in attendance, and the ability to connect with electrical equipment automatically. The current study proposes an automatic smart classroom application that utilizes the concepts of IoT and face recognition. Specifically, the application relies entirely on face detection and recognition to automatically detect the presence of students in the classroom and mark their attendance. Moreover, the application also provides advanced technology that enables automatic switching on of electrical power, including but not limited to lamps, fans, LCDs, and air conditioning systems. This feature not only reduces energy consumption but also allows for monitoring of units consumed. The proposed solution represents a significant step towards establishing a smart classroom. Results and analysis of the IoT solution demonstrate that it accelerates the availability process in the classroom without requiring human intervention. 

Patterns before recognition: the historical ascendance of an extractive empiricism of forms

This article explores the complex convergence between cybernetics and Gestalt theory and its influence on the concept of pattern recognition. It finds a departure in the analogous ways each discipline extends their core frameworks toward social and anthropological objects. However, this shared ground is not without tensions. In the post-war American context, what is formalizable and realizable in mechanical structures has a certain explanatory authority—even if often misplaced-- concerning perception and human intelligence. Cultural patterns feed into mechanical recognition of patterns, exemplifying “extractive empiricism” or the process of outsourcing experiential processes to mechanical systems. This mode of “proof” is also evident in cybernetic and cognitive psychological strategies toward Gestalt theory, leaving a significant legacy for contemporary machine learning approaches. By examining the early interactions between these rival paradigms, known for their quest for generalization, and disentangling their source status, this inquiry contributes to understanding the broad conceptual possibilities of pattern recognition beyond its narrow confines in engineering perspectives and machine learning discourse.

Недостатки действующего порядка предоставления недр в пользование для образования особо охраняемых геологических объектов

The article is devoted to the study of problems of legal regulation of granting the subsoil use right for the formation of specially protected geological objects. A number of shortcomings of the procedure for granting such a right is identified, including the lack of obligation of the State agencies to verify the mining legal capacity of the applicant. Particular attention is paid to identifying the content and legal nature of the concept of recognition of a subsoil area as a specially protected geological object. The author concludes that the recognition of a subsoil area as a specially protected geological object is essentially the establishment of a regime of specially protected natural territory in relation to such area. The argument is substantiated that within the procedure for granting the subsoil use right for the formation of specially protected geological objects the key importance should be given to the analysis of the applicant’s proposals on the terms of use of the subsoil area to determine whether they ensure the rational use and protection of the subsoil area, effective and safe use of the specially protected geological object for the purposes planned by the applicant. In the conclusion there is a proposal on the need to make a number of amendments to the by-law establishing the procedure for granting subsoil use right for the formation of specially protected geological objects in order to eliminate a number of identified defects in the subsoil legislation.

Load Recognition in Hardware-Based Low Voltage Distribution Grids Using Convolutional Neural Networks

Due to climate targets of the German government, the share of renewable energy in the power grid will be increased and the number of grid participants connected to the low voltage level of the power grid will rise. This leads to new requirements in voltage control, especially in low voltage distribution grids. In order to achieve a stable power grid in future, further development of control strategies is necessary. In this paper, a load recognition concept, which was tested on simulative data in previous work, is further developed to reduce simulation effort. Additionally, the concept is adapted for real hardware influences and active grid participants complicating the recognition task. Thus, the main contribution of this study is the successful application of the methodology within a hardware-based test grid containing a charging electric vehicle. Using a convolutional neural network in a time series classification setting, the recognition rates in this use-case exceeded 99 % while benefiting from an asymmetric charging behavior. Due to these promising results, future voltage control strategies could be supported based on gained information through integration of the presented concept.

Challenges of transforming curricula: Reflections by an interdisciplinary Community of Practice

Institutional transformation and inclusion have slowly become more prominent in the strategies of historically white institutions in South Africa. Despite these efforts, progress towards these goals has been limited. In this article, we reflect on our conversations about transforming our curricula and teaching practices as an interdisciplinary Community of Practice. Our conversations grappled with the lack of curricular transformation at Stellenbosch University, despite its aspirational transformation plan. We argue that difficult interdisciplinary conversations are key to interrupting our teaching practices and are crucial in the decolonising process. These conversations must be ongoing and enduring, because through sharing our stories we support agents of curriculum transformation in our different contexts. Our conceptual conversations explored various theories about decoloniality, and here we employ ubuntu pedagogy, as well as the concepts of redistribution, recognition and representation from social justice theory. We harness the collaborative energy of an interdisciplinary Community of Practice, with its associated storytelling, reading, writing and reflecting to harness the diversity of personal and disciplinary perspectives. We include some reflective vignettes to illustrate our process.Contribution: The relevance of this study, beyond our contexts, arises from a gap in the decolonising process, from its theory to its practice. We argue that even a good institutional transformation plan will not guarantee the decoloniality of curricula. More is needed. Systemic change is needed, and difficult interdisciplinary conversations are part of this process. There must be recognition and representation of marginalised voices and specific context-related redistribution of curricula, so that transformation plans and theories can take effect.

Machine Learning Based Method to Design a Facial Emotion Detection and Chat Bot System

One of the active areas of research trends is recognizing emotions in images. This project aims to identify facial emotions. The research concept in Emotion Recognition is included in the flow of our emotion recognition. These involve image acquisition, image pre-processing, face detection, feature extraction, and classification, with the machine being applied after the emotion have been classified.  Our framework relies on already-existing still images. This project aims to improve automated facial emotion recognition and build interaction between the system and the user (bot).

IMPLEMENTING COMPUTATIONAL THINKING IN ELEMENTARY SCHOOL ICT EDUCATION AND EVALUATION USING THE KIRKPATRICK METHOD

The lack of understanding of computational concepts and problem-solving among students who still consider computers merely as tools for gaming and entertainment, along with their limited exposure to computational Thinking, constrains their ability to address problems systematically. Although the 2013 Curriculum emphasizes critical Thinking, basic data analysis, problem-solving, creativity, and innovation, aligned with the computational thinking method, it remains a distinct challenge for students and teachers to integrate it into their teaching. The objective of computational thinking education is to shift the paradigm and introduce students to computational thinking skills, particularly in ICT Education. Testing this method employs the Kirkpatrick method, which demonstrates a significant improvement in students' ability to solve problems with a more systematic and computational approach. Students can comprehend the concepts of decomposition, pattern recognition, abstraction, and algorithm development. This improvement is reflected in their performance on various computer-based problem-solving tasks. The benefits of implementing computational Thinking include students applying computational thinking principles not only in computer-based learning but also in their daily lives, gaining more confidence in facing technology-based challenges.

Autonomy as the self-realisation of an environmental identity

This article addresses the question raised by the Anthropocene of rethinking the concept of autonomy which, in the conditions of the new geological epoch, is subject to a crisis of legitimation. It explores the ‘strong hypothesis’ according to which nature is a necessary condition of our qualitative experience of the world and a constitutive relation of autonomy defined as the self-realisation of individual identity. With this aim in mind, the article attempts to rethink the concept of recognition in order to conceive a recognising attitude of nature in the form of love of nature as a form of adequate recognition. Rethinking recognition can serve as foundation of an ‘objective’ theory of autonomy, that is, a theory that explains how nature can be defined as a condition and constitutive relation of autonomy. The article, therefore, proposes to reformulate the concept of autonomy as the self-realisation of an ecological or environmental identity in the form of the self-realisation of an ecological ethos, that is, an attitude of respect and care for nature. This enquiry, ultimately, is a contribution to the task of rethinking the basis of our conceptions of autonomy and freedom in the Anthropocene, so that the idea of autonomy can legitimately constitute the central value of the social transformation that is needed to face the ecological crisis.