Results for 'Cybercrime classifications'

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  1.  25
    Exploring the value of feminist theory in understanding digital crimes: Gender and cybercrime types.Suleman Lazarus, Mark Button & Richard Kapend - 2022 - Howard Journal of Crime and Justice 1 (1):1-18.
    Do men and women perceive cybercrime types differently? This article draws on the distinction between socio-economic and psychosocial cybercrime proposed by Lazarus (2019) to investigate whether men and women hold different perceptions of digital crimes across these two dimensions. Informed by the synergy between feminist theory and the Tripartite Cybercrime Framework (TCF), our survey examined respondents’ differential perceptions of socio-economic cybercrime (online fraud) and psychosocial cybercrime (cyberbullying, revenge porn, cyberstalking, online harassment) among men and women (...)
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  2.  84
    The bifurcation of the Nigerian cybercriminals: Narratives of the Economic and Financial Crimes Commission (EFCC) agents.Suleman Lazarus & Geoffrey Okolorie - 2019 - Telematics and Informatics 40:14-26.
    While this article sets out to advance our knowledge about the characteristics of Nigerian cybercriminals (Yahoo-Boys), it is also the first study to explore the narratives of the Economic and Financial Crimes Commission (EFCC) officers concerning them. It appraises symbolic interactionist insights to consider the ways in which contextual factors and worldview may help to illuminate officers’ narratives of cybercriminals and the interpretations and implications of such accounts. Semi-structured interviews of forty frontline EFCC officers formed the empirical basis of this (...)
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  3. Cybercrime pandemic.Marites V. Fontanilla - 2020 - Eubios Journal of Asian and International Bioethics 30 (4):161-165.
    With the rising of the reported cases of COVID-19 and home quarantine being implemented, the Internet became a channel for effective human interaction. Doing most of the work online brought an increasing number of online fraudsters to exploit the public fear of the pandemic to attack people through cybercrime. This paper introduces what cybersecurity is all about. It also lists some of the cybersecurity issues that are being faced at this time. Further, it discusses forms of attacks being encountered (...)
     
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  4.  6
    Cybercrime: A Challenge to Law Enforcement.Besa Arifi & Dora Arifi - 2020 - Seeu Review 15 (2):42-55.
    When comparing 100 years ago and today, we always mention the social, economic and political changes that have influenced the emergence and development of the opportunities that we have today, with special emphasis on technological changes. Technology has evolved so fast that it seems that in the blink of an eye something new has just hit the market. Whether we like it or not, technology has become part of us, part of our lives, where we upon spend a great deal (...)
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  5.  72
    A spiritual dimension to cybercrime in Nigeria: The ‘yahoo plus’ phenomenon.Oludayo Tade - 2013 - Human Affairs 23 (4):689-705.
    Cybercrime in Nigeria is largely perpetrated by young people and students in tertiary institutions, and are socially tagged yahoo yahoo or yahoo boys. Yahoo boys rely on their computer dexterity to victimise unsuspecting persons in cyberspace. A new phenomenon in cybercrime is mixing spiritual elements with internet surfing to boost cybercrime success rates. This paper examines the factors underlying this spiritual dimension (cyber spiritualism) to cybercrime, and discusses some of the strategies employed in perpetuating cyber crime. (...)
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  6. Information Classification on University Websites: A Two-Country Card Sort Study.Torkil Clemmensen and Morten Hertzum Ather Nawaz - 2013 - Iris 34.
     
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  7. Lemon Classification Using Deep Learning.Jawad Yousif AlZamily & Samy Salim Abu Naser - 2020 - International Journal of Academic Pedagogical Research (IJAPR) 3 (12):16-20.
    Abstract : Background: Vegetable agriculture is very important to human continued existence and remains a key driver of many economies worldwide, especially in underdeveloped and developing economies. Objectives: There is an increasing demand for food and cash crops, due to the increasing in world population and the challenges enforced by climate modifications, there is an urgent need to increase plant production while reducing costs. Methods: In this paper, Lemon classification approach is presented with a dataset that contains approximately 2,000 images (...)
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  8.  20
    Legislation on Cybercrime in Lithuania: Development and Legal Gaps in Comparison with Convention on Cybercrime.Darius Sauliūnas - 2010 - Jurisprudencija: Mokslo darbu žurnalas 122 (4):203-219.
    The Convention on Cybercrime (the Convention) adopted in the framework of the Council of Europe is the main international legislative tool in the fight against cybercrime. It is the first international treaty on crimes committed via the Internet and other computer networks, dealing particularly with infringements of copyright, computer-related fraud, child pornography and violations of network security. Lithuania is among its signatory states, therefore, the provisions of the Convention have become binding on its legislator, obliging it to take (...)
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  9. Potato Classification Using Deep Learning.Abeer A. Elsharif, Ibtesam M. Dheir, Alaa Soliman Abu Mettleq & Samy S. Abu-Naser - 2020 - International Journal of Academic Pedagogical Research (IJAPR) 3 (12):1-8.
    Abstract: Potatoes are edible tubers, available worldwide and all year long. They are relatively cheap to grow, rich in nutrients, and they can make a delicious treat. The humble potato has fallen in popularity in recent years, due to the interest in low-carb foods. However, the fiber, vitamins, minerals, and phytochemicals it provides can help ward off disease and benefit human health. They are an important staple food in many countries around the world. There are an estimated 200 varieties of (...)
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  10.  4
    Artificial Intelligence and Cybercrime in Nigeria.Ikechukwu A. Kanu, Dokpesi T. Adidi & Catherine C. Kanu - 2024 - Dialogue and Universalism 34 (1):207-221.
    The rapid advancement of artificial intelligence has brought about significant positive changes across various sectors. However, it has also created new opportunities for cybercrime. Nigeria, in particular, has witnessed a surge in cybercriminal activities, which have had severe economic and social consequences. The paper explored the relationship between AI, cybercrime, and the underground business economy in Nigeria, focusing on the rise of fraud, identity theft, and hacking. It discussed the ethical implications of AI, cybercrime, and the underground (...)
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  11.  50
    Examination of cybercrime and its effects on corporate stock value.Katherine Taken Smith, Amie Jones, Leigh Johnson & Lawrence Murphy Smith - 2019 - Journal of Information, Communication and Ethics in Society 17 (1):42-60.
    Purpose Cybercrime is a prevalent and serious threat to publicly traded companies. Defending company information systems from cybercrime is one of the most important aspects of technology management. Cybercrime often not only results in stolen assets and lost business but also damages a company’s reputation, which in turn may affect the company’s stock market value. This is a serious concern to company managers, financial analysts, investors and creditors. This paper aims to examine the impact of cybercrime (...)
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  12. Establishing the particularities of cybercrime in Nigeria: theoretical and qualitative treatments.Suleman Lazarus - 2020 - Dissertation, University of Portsmouth
    This thesis, which is based on six peer-reviewed publications, is a theoretical and qualitative treatment of the ways in which social and contextual factors serve as a resource for understanding the particularities of ‘cybercrime’ that emanates from Nigeria. The thesis illuminates how closer attention to Nigerian society aids the understanding of Nigerian cybercriminals (known as Yahoo Boys), their actions and what constitutes ‘cybercrime’ in a Nigerian context. ‘Cybercrime’ is used in everyday parlance as a simple acronym for (...)
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  13. Racial Classification Without Race: Edwards’ Fallacy.Adam Hochman - 2021 - In Lorusso Ludovica & Winther Rasmus (eds.), Remapping Race in a Global Context. Routledge. pp. 74–91.
    A. W. F. Edwards famously named “Lewontin’s fallacy” after Richard Lewontin, the geneticist who showed that most human genetic diversity can be found within any given racialized group. “Lewontin’s fallacy” is the assumption that uncorrelated genetic data would be sufficient to classify genotypes into conventional “racial” groups. In this chapter, I argue that Lewontin does not commit the fallacy named after him, and that it is not a genuine fallacy. Furthermore, I argue that when Edwards assumes that stable classification is (...)
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  14. Classification or wonder: Coding as an analytic practice in qualitative research.Maggie MacLure - 2013 - In Rebecca Coleman & Jessica Ringrose (eds.), Deleuze and research methodologies. Edinburgh: Edinburgh University Press.
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  15. The Classification of the Sciences and Cross-disciplinarity.Jaime Nubiola - 2005 - Transactions of the Charles S. Peirce Society 41 (2):271-282.
    In a world of ever growing specialization, the idea of a unity of science is commonly discarded, but cooperative work involving cross-disciplinary points of view is encouraged. The aim of this paper is to show with some textual support that Charles S. Peirce not only identified this paradoxical situation a century ago, but he also mapped out some paths for reaching a successful solution. A particular attention is paid to Peirce's classification of the sciences and to his conception of science (...)
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  16.  63
    How Classification Works: Nelson Goodman Among the Social Sciences.Nelson Goodman, Mary Douglas & David L. Hull (eds.) - 1992 - Edinburgh: Edinburgh University Press.
    How Classification Works attempts to bridge the gap between philosophy and the social sciences using as a focus some of the work of Nelson Goodman. Throughout his long career Goodman has addressed the question: are some ways of conceptualizing more natural than others? This book looks at the rightness of categories, assessing Goodman's role in modern philosophy and explaining some of his ideas on the relation between aesthetics and cognitive theory. Two papers by Nelson Goodman are included in the collection (...)
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  17.  24
    Biological Classification: Toward a Synthesis of Opposing Methodologies.Ernst Mayr - 1994 - In Elliott Sober (ed.), Conceptual Issues in Evolutionary Biology. The Mit Press. Bradford Books. pp. 510--277.
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  18. Ethnobiological classification.Brent Berlin - 1978 - In Eleanor Rosch & Barbara Lloyd (eds.), Cognition and Categorization. Lawrence Elbaum Associates. pp. 9--26.
     
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  19. Classification of Global Catastrophic Risks Connected with Artificial Intelligence.Alexey Turchin & David Denkenberger - 2020 - AI and Society 35 (1):147-163.
    A classification of the global catastrophic risks of AI is presented, along with a comprehensive list of previously identified risks. This classification allows the identification of several new risks. We show that at each level of AI’s intelligence power, separate types of possible catastrophes dominate. Our classification demonstrates that the field of AI risks is diverse, and includes many scenarios beyond the commonly discussed cases of a paperclip maximizer or robot-caused unemployment. Global catastrophic failure could happen at various levels of (...)
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  20. Psychiatric classification and diagnosis. Delusions and confabulations.Lisa Bortolotti - 2011 - Paradigmi (1):99-112.
    In psychiatry some disorders of cognition are distinguished from instances of normal cognitive functioning and from other disorders in virtue of their surface features rather than in virtue of the underlying mechanisms responsible for their occurrence. Aetiological considerations often cannot play a significant classificatory and diagnostic role, because there is no sufficient knowledge or consensus about the causal history of many psychiatric disorders. Moreover, it is not always possible to uniquely identify a pathological behaviour as the symptom of a certain (...)
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  21.  59
    A classification of mathematical concepts.Josephine J. Mehlberg - 1962 - Synthese 14 (1):78 - 86.
  22.  10
    A Classification and Criticism about Schools in Zĭ(子:Masters) category of The Siku Quanshu Zongmu Tiyao(The Complete Library of the Four Treasuries: General Catalog with Abstracts). 조장연 - 2011 - Journal of Eastern Philosophy 67:251-282.
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  23. Biology, Classification, and Essence.David Charles - 2000 - In Aristotle on meaning and essence. New York: Oxford University Press.
    Aristotle, in the Historia Animalium, follows the explanation‐involving approach to classification that he developed in the pattern of the Posterior Analytics. Thus, he draws in his theory of animal classification on his explanatory account of soul functions developed in De Anima. However, his project encounters a severe problem: he failed to uncover in his study of biological phenomena the unified, causally basic essences that his theory of definition required. I consider whether Aristotle can resolve this crisis while remaining true to (...)
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  24. Glass Classification Using Artificial Neural Network.Mohmmad Jamal El-Khatib, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2019 - International Journal of Academic Pedagogical Research (IJAPR) 3 (23):25-31.
    As a type of evidence glass can be very useful contact trace material in a wide range of offences including burglaries and robberies, hit-and-run accidents, murders, assaults, ram-raids, criminal damage and thefts of and from motor vehicles. All of that offer the potential for glass fragments to be transferred from anything made of glass which breaks, to whoever or whatever was responsible. Variation in manufacture of glass allows considerable discrimination even with tiny fragments. In this study, we worked glass classification (...)
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  25.  85
    A classification scheme for codes of business ethics.Bruce R. Gaumnitz & John C. Lere - 2004 - Journal of Business Ethics 49 (4):329-335.
    A great deal of interest in codes of ethics exists in both the business community and the academic community. Within the academic community, this interest has given rise to a number of studies of codes of ethics. Many of these studies have focused on the content of various codes.One important way the study of codes of ethics can be advanced is by applying formal tools of analysis to codes of ethics. An understanding of important dimensions that may differ across codes (...)
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  26.  15
    Biological Classification: A Philosophical Introduction.Richard A. Richards - 2016 - Cambridge University Press.
    Modern biological classification is based on the system developed by Linnaeus, and interpreted by Darwin as representing the tree of life. But despite its widespread acceptance, the evolutionary interpretation has some problems and limitations. This comprehensive book provides a single resource for understanding all the main philosophical issues and controversies about biological classification. It surveys the history of biological classification from Aristotle to contemporary phylogenetics and shows how modern biological classification has developed and changed over time. Readers will also be (...)
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  27.  45
    Biocognitive classification of antisocial individuals without explanatory reductionism.Marko Jurjako, Luca Malatesti & Inti Brazil - 2020 - Perspectives on Psychological Science 15 (4):957-972.
    Effective and specifically targeted social and therapeutic responses for antisocial personality disorders and psychopathy are scarce. Some authors maintain that this scarcity should be overcome by revising current syndrome - based classifications of these conditions and devising better biocognitive classifications of antisocial individuals. The inspiration for the latter classifications has been embedded in the Research domain criteria approach (RDoC). RDoC - type approaches to psychiatric research aim at transforming diagnosis, provide valid measures of disorders, aid clinical practice, (...)
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  28. The classifications of living beings.Peter Heuer & Boris Hennig - 2008 - In Peter Heuer & Boris Hennig (eds.), Applied Ontology. pp. 197--217.
    This chapter proceeds in five steps. First, we will describe and justify the structure of the traditional system of species classification. Second, we will discuss three formal principles governing the development of taxonomies in general. It will emerge that, in addition to these formal principles, a division of living beings must meet certain empirical constraints. In the third section, we will show that the traditional division of living beings into species best meets these constraints. Fourth, we will argue that a (...)
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  29. Defeasible Classifications and Inferences from Definitions.Fabrizio Macagno & Douglas Walton - 2010 - Informal Logic 30 (1):34-61.
    We contend that it is possible to argue reasonably for and against arguments from classifications and definitions, provided they are seen as defeasible (subject to exceptions and critical questioning). Arguments from classification of the most common sorts are shown to be based on defeasible reasoning of various kinds represented by patterns of logical reasoning called defeasible argumentation schemes. We show how such schemes can be identified with heuristics, or short-cut solutions to a problem. We examine a variety of arguments (...)
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  30. Disagreement & classification in comparative cognitive science.Alexandria Boyle - forthcoming - Noûs.
    Comparative cognitive science often involves asking questions like ‘Do nonhumans have C?’ where C is a capacity we take humans to have. These questions frequently generate unproductive disagreements, in which one party affirms and the other denies that nonhumans have the relevant capacity on the basis of the same evidence. I argue that these questions can be productively understood as questions about natural kinds: do nonhuman capacities fall into the same natural kinds as our own? Understanding such questions in this (...)
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  31. Philosophy of Science, Psychiatric Classification, and the DSM.Jonathan Y. Tsou - 2019 - In Bluhm Robyn & Tekin Serife (eds.), The Bloomsbury Companion to Philosophy of Psychiatry. Bloomsbury. pp. 177-196.
    This chapter examines philosophical issues surrounding the classification of mental disorders by the Diagnostic and Statistical Manual of Mental Disorders (DSM). In particular, the chapter focuses on issues concerning the relative merits of descriptive versus theoretical approaches to psychiatric classification and whether the DSM should classify natural kinds. These issues are presented with reference to the history of the DSM, which has been published regularly by the American Psychiatric Association since 1952 and is currently in its fifth edition. While the (...)
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  32. Causal classification of diseases.Andrej Poleev - 2020 - Enzymes.
    „Errors are the greatest obstacles to the progress of science; to correct such errors is of more practical value than to achieve new knowledge,“ asserted Eugen Bleuler. Basic error of several prevailing classification schemes of pathological conditions, as for example ICD-10, lies in confusing and mixing symptoms with diseases, what makes them unscientific. Considering the need to bring order into the chaos and light into terminological obscureness, I introduce the Causal classification of diseases originating from the notion of bodily wholeness (...)
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  33.  5
    International Conference on Cyberlaw, Cybercrime & Cybersecurity.Pavan Duggal - 2016 - International Review of Information Ethics 25.
    This article reports from the International Conference on Cyberlaw, Cybercrime & Cybersecurity. The Conference was addressed by more than 150 speakers backed by more than 80 supporters. It was a wonderful opportunity to network with international thought leaders under one roof.
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  34. Perceptual classification images from Vernier acuity masked by noise.A. J. Ahumada Jr - 1996 - In Enrique Villanueva (ed.), Perception. Ridgeview. pp. 1831-1840.
     
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  35.  17
    Diagrammatic classifications of birds, 1819–1901: views of the natural system in 19th-century British ornithology.Robert J. O'Hara - 1988 - Acta XIX Congressus Internationalis Ornithologici: pp. 2746–2759.
    Classifications of animals and plants have long been represented by hierarchical lists of taxa, but occasional authors have drawn diagrammatic versions of their classifications in an attempt to better depict the "natural relationships" of their organisms. Ornithologists in 19th-century Britain produced and pioneered many types of classificatory diagrams, and these fall into three groups: (a) the quinarian systems of Vigors and Swainson (1820s and 1830s); (b) the "maps" of Strickland and Wallace (1840s and 1850s); and (c) the evolutionary (...)
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  36.  13
    Classification of One Dimensional Dynamical Systems by Countable Structures.Henk Bruin & Benjamin Vejnar - 2023 - Journal of Symbolic Logic 88 (2):562-578.
    We study the complexity of the classification problem of conjugacy on dynamical systems on some compact metrizable spaces. Especially we prove that the conjugacy equivalence relation of interval dynamical systems is Borel bireducible to isomorphism equivalence relation of countable graphs. This solves a special case of Hjorth’s conjecture which states that every orbit equivalence relation induced by a continuous action of the group of all homeomorphisms of the closed unit interval is classifiable by countable structures. We also prove that conjugacy (...)
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  37.  16
    ‘We Attempted to Deliver Your Package’: Forensic Translation in the Fight Against Cross-Border Cybercrime.Rui Sousa-Silva - forthcoming - International Journal for the Semiotics of Law - Revue Internationale de Sémiotique Juridique:1-27.
    Cybercrime has increased significantly, recently, as a result of both individual and group criminal practice, and is now a threat to individuals, organisations, and democratic systems worldwide. However, cybercrime raises two main challenges for legal systems: firstly, because cybercriminals operate online, cybercrime spans beyond the boundaries of specific jurisdictions, which constrains the operation of the police and, subsequently, the conviction of the perpetrators; secondly, since cybercriminals can operate from anywhere in the world, law enforcement agencies struggle to (...)
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  38.  45
    Enzyme classification and the entanglement of values and epistemic standards.Stijn Conix - 2020 - Studies in History and Philosophy of Science Part A 84:37-45.
    This paper investigates the case of enzyme classification to evaluate different ideals for regulating values in science. I show that epistemic and non-epistemic considerations are inevitably and untraceably entangled in enzyme classification, and argue that this has significant implications for the two main kinds of views on values in science, namely, Epistemic Priority Views and Joint Satisfaction Views. More precisely, I argue that the case of enzyme classification poses a problem for the usability and descriptive accuracy of these two views. (...)
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  39.  1
    The Classification of Sciences in Mediaeval Jewish Philosophy.Harry Austryn Wolfson - 2022 - Hebrew Union College.
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  40. Classification, Kinds, Taxonomic Stability, and Conceptual Change.Jaipreet Mattu & Jacqueline Anne Sullivan - forthcoming - Aggression and Violent Behavior.
    Scientists represent their world, grouping and organizing phenomena into classes by means of concepts. Philosophers of science have historically been interested in the nature of these concepts, the criteria that inform their application and the nature of the kinds that the concepts individuate. They also have sought to understand whether and how different systems of classification are related and more recently, how investigative practices shape conceptual development and change. Our aim in this paper is to provide a critical overview of (...)
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  41.  32
    Perspectives on Classification in Synthetic Sciences: Unnatural Kinds.Julia Bursten - 2019 - New York, NY, USA: Routledge.
    This volume launches a new series of contemporary conversations about scientific classification. Most philosophical conversations about kinds have focused centrally or solely on natural kinds, that is, kinds whose existence is not dependent on the scientific process of synthesis. This volume refocuses conversations about classification on unnatural, or synthetic, kinds via extensive study of three paradigm cases of unnatural kinds: nanomaterials, stem cells, and synthetic biology.
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  42.  23
    Multiclass Classification Procedure for Detecting Attacks on MQTT-IoT Protocol.Hector Alaiz-Moreton, Jose Aveleira-Mata, Jorge Ondicol-Garcia, Angel Luis Muñoz-Castañeda, Isaías García & Carmen Benavides - 2019 - Complexity 2019:1-11.
    The large number of sensors and actuators that make up the Internet of Things obliges these systems to use diverse technologies and protocols. This means that IoT networks are more heterogeneous than traditional networks. This gives rise to new challenges in cybersecurity to protect these systems and devices which are characterized by being connected continuously to the Internet. Intrusion detection systems are used to protect IoT systems from the various anomalies and attacks at the network level. Intrusion Detection Systems can (...)
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  43.  22
    Classification and causal mechanisms: a deflationary approach to the classification problem.Derek Bolton - 2012 - In Kenneth S. Kendler & Josef Parnas (eds.), Philosophical Issues in Psychiatry Ii: Nosology. Oxford University Press. pp. 6-11.
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  44.  44
    Classification.Daniel Parrochia - 2016 - Internet Encyclopedia of Philosophy.
    Classification One of the main topics of scientific research is classification. Classification is the operation of distributing objects into classes or groups—which are, in general, less numerous than them. It has a long history that has developed during four periods: Antiquity, where its lineaments may be found in the writings of Plato and Aristotle; … Continue reading Classification →.
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  45.  18
    Classification.Roy Boyne - 2006 - Theory, Culture and Society 23 (2-3):21-30.
    First thoughts about classification inevitably turn to the simultaneously mundane and extraordinary ambition to capture the universe of all that there is and has been. This dream of the universal has two basic modes (and so the process begins!). First, I will follow the spirit of theos and logos as represented by the Platonic embrace of totality enshrined in Socrates’ scrupulous rejection of rhetorical dishonesty. Second, I will address the later part of the march to subjectivity as expressed by the (...)
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  46. Interactive Classification and Practice in the Social Sciences.Matt L. Drabek - 2010 - Poroi 6 (2):62-80.
    This paper examines the ways in which social scientific discourse and classification interact with the objects of social scientific investigation. I examine this interaction in the context of the traditional philosophical project of demarcating the social sciences from the natural sciences. I begin by reviewing Ian Hacking’s work on interactive classification and argue that there are additional forms of interaction that must be treated.
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  47.  19
    Primitive Classification.Emile Durkheim & Marcel Mauss - 1963 - Les Etudes Philosophiques 19 (3):449-449.
    In this influential work, first published in English in 1963, Durkheim and Mauss claim that the individual mind is capable of classification and they seek the origin of the ‘classificatory function’ in society. On the basis of an intensive examination of forms and principles of symbolic classification reported from the Australian aborigines, the Zuñi and traditional China, they try to establish a formal correspondence between social and symbolic classification. From this they argue that the mode of classification is determined by (...)
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  48. The classification of emotion and scientific realism.Peter Zachar - 2006 - Journal of Theoretical and Philosophical Psychology 26 (1-2):120-138.
    The scientific study of emotion has been characterized by classification schemes that propose to 'carve nature at the joints.' This article examines several of these classifications, drawn from both the categorical and dimensional perspectives. Each classification is given credit for what it contributes to our understanding, but the dream of a single, all purpose taxonomy of emotional phenomena is called into question. Such hopes are often associated with the carving at the joints metaphor, which is here argued to be (...)
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  49. Biological classification : toward a synthesis of opposing methodologies. E. Mayr - 2014 - In Francisco José Ayala & John C. Avise (eds.), Essential readings in evolutionary biology. Baltimore: The Johns Hopkins University Press.
     
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  50. Just married: the synergy between feminist criminology and the Tripartite Cybercrime Framework.Suleman Lazarus - 2019 - International Social Science Journal 69 (231):15-33.
    This article is a theoretical treatment of feminist epistemology of crime, which advocates the centrality of gender as a theoretical starting point for the investigating of digital crimes. It does so by exploring the synergy between the feminist perspectives and the Tripartite Cybercrime Framework (TCF) (which argues that three possible factors motivate cybercrimes – socioeconomic, psychosocial, and geopolitical) to critique mainstream criminology and the meaning of the term “cybercrime”. Additionally, the article examines gender gaps in online harassment, cyber‐bullying, (...)
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