Adorno in the classroom: how contesting the influence of late capitalism enables the integrated teaching of academic literacies and critical analysis and the development of a flourishing learning community

2017 ◽  
Vol 43 (9) ◽  
pp. 1597-1611 ◽  
Author(s):  
John G. Fox ◽  
Pauline O’Maley
2018 ◽  
Vol 15 (3) ◽  
pp. 503-521 ◽  
Author(s):  
Elizabeth Yardley ◽  
Emma Kelly ◽  
Shona Robinson-Edwards

Within this article, we explore the emergence of the serialized true crime podcast through an ultra-realist lens. These representations have become increasingly popular in recent years and appear to embody changing sensibilities towards crime and criminal justice – we critically consider whether serialized true crime podcasts do or could represent a change from the true crime of the past. More importantly, we question the extent to which academic criminology is equipped to engage in critical analysis of this media and address the questions that they raise about crime and society’s response to it in late capitalist society.


2021 ◽  
Vol 8 (1) ◽  
pp. 205395172110175
Author(s):  
Hendrik Heuer ◽  
Juliane Jarke ◽  
Andreas Breiter

Machine learning has become a key component of contemporary information systems. Unlike prior information systems explicitly programmed in formal languages, ML systems infer rules from data. This paper shows what this difference means for the critical analysis of socio-technical systems based on machine learning. To provide a foundation for future critical analysis of machine learning-based systems, we engage with how the term is framed and constructed in self-education resources. For this, we analyze machine learning tutorials, an important information source for self-learners and a key tool for the formation of the practices of the machine learning community. Our analysis identifies canonical examples of machine learning as well as important misconceptions and problematic framings. Our results show that machine learning is presented as being universally applicable and that the application of machine learning without special expertise is actively encouraged. Explanations of machine learning algorithms are missing or strongly limited. Meanwhile, the importance of data is vastly understated. This has implications for the manifestation of (new) social inequalities through machine learning-based systems.


2014 ◽  
pp. 563-572
Author(s):  
Mateusz Pietryka

The terror of modernism or Scott’s 'tunnel vision' The article analyses James C. Scott’s book Seeing Like a State: How Certain Schemes to Improve the Human Condition Have Failed. Scott’s book examines different aspects of a modern state’s activity and its methods of control over the population. Scott describes diverse failures in state planning and links them to the ideology of what he terms “high modernism”. Scott states that this ideology results in over confidence in scientific progress and omnipresent simplifications, since a modernist plan does not recognize the importance of local knowledge and tradition.Though the book clearly illustrates how the fore-mentioned centralist approach leads to failures, its methodology, however, lacks the critical analysis of the nature of governance and liberal economy. Furthermore, Scott offers no insight on the late capitalism nor legible solutions for the described issues. He seems to be unaware of constructing his own “tunnel vision” by selective case studies and building the narration on simplified oppositions. Modernistyczny terror, czyli krótko o tunnel vision Jamesa C. ScottaArtykuł jest analizą książki Jamesa Scotta, Seeing Like a State: How Certain Schemes to Improve the Human Condition Have Failed. Książka ta bada różnorodne aspekty aktywności współczesnego państwa i jego metody kontroli nad populacją. Autor opisuje rożnego typu niepowodzenia wynikające z państwowego planowania i wiąże je z ideologią nazwaną przez siebie „zaawansowanym modernizmem”. Scott twierdzi, że skutkuje ona pokładaniem nadmiernej wiary w postęp naukowy i wszechobecnymi uproszczeniami, ponieważ modernistyczny plan nie uznaje znaczenia lokalnej wiedzy i tradycji.Choć książka jasno pokazuje, jak wspomniane centralistyczne podejście kończy się porażkami, jej metodologii brakuje krytycznej analizy natury władzy i liberalnej ekonomii. Ponadto Scott pomija temat późnego kapitalizmu i jasnych rozwiązań opisywanych problemów. Wydaje się, iż poprzez selektywne studia przypadku i budowanie narracji na uproszczonych opozycjach nieświadomie konstruuje swoje własne tunnel vision.


2007 ◽  
Vol 177 (4S) ◽  
pp. 126-126
Author(s):  
Matthew E. Nielsen ◽  
Danil V. Makarov ◽  
Elizabeth B. Humphreys ◽  
Leslie A. Mangold ◽  
Alan W. Partin ◽  
...  

2020 ◽  
Vol 25 (1) ◽  
pp. 1-15 ◽  
Author(s):  
Amaia Del Campo ◽  
Marisalva Fávero

Abstract. During the last decades, several studies have been conducted on the effectiveness of sexual abuse prevention programs implemented in different countries. In this article, we present a review of 70 studies (1981–2017) evaluating prevention programs, conducted mostly in the United States and Canada, although with a considerable presence also in other countries, such as New Zealand and the United Kingdom. The results of these studies, in general, are very promising and encourage us to continue this type of intervention, almost unanimously confirming its effectiveness. Prevention programs encourage children and adolescents to report the abuse experienced and they may help to reduce the trauma of sexual abuse if there are victims among the participants. We also found that some evaluations have not considered the possible negative effects of this type of programs in the event that they are applied inappropriately. Finally, we present some methodological considerations as critical analysis to this type of evaluations.


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