Bodies, technologies and action possibilities: when is an affordance?

Borrowed from ecological psychology, the concept of affordances is often said to offer the social study of technology a means of re-framing the question of what is, and what is not, ‘social’ about technological artefacts. The concept, many argue, enables us to chart a safe course between the perils of technological determinism and social constructivism. This article questions the sociological adequacy of the concept as conventionally deployed. Drawing on ethnographic work on the ways technological artefacts engage, and are engaged by, disabled bodies, we propose that the ‘affordances’ of technological objects are not reducible to their material constitution but are inextricably bound up with specific, historically situated modes of engagement and ways of life

Never mind the Brexit? Britain, Europe, the world and Brexit

Britain’s vote to withdraw from the EU came as an unexpected shock to many in the UK, the rest of the EU and around the world. The UK and the remaining EU now face a fraught and potentially lengthy period of negotiations to settle Brexit. How might this change Europe? And how might it change the rest of the world’s views of Europe? This article looks at how Brexit could shape worldviews of Europe. It does so firstly by looking at the international and European roles Britain sees for itself and how the rest of Europe views those roles. The article then turns to views of both the UK and the EU from the USA, Russia and China. It argues that neither the UK nor the EU should overlook how external perceptions of Europe, the UK and Brexit matter because they will determine the strategic context in which the Brexit negotiations unfold

Elite Conflict Orientations in Polish and US Cities

This paper analyzes the values of local leaders in Poland and the United States. A matched subset of cities is used. Interview data were collected in the 1983-84 period. The focus is on elite views about political conflict. Striking differences were found in the types of problems seen as serious in their communities. Yet, similar proportions perceived and tolerated conflicts today as in 1966. Individual level data on leadership position, party affiliation or status, length of tenure and age revealed differences. And in both countries community differences were considerable.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/66987/2/10.1177_019251218901000402.pd

The difference that tenure makes

This paper argues that housing tenures cannot be reduced to either production relations or consumption relations. Instead, they need to be understood as modes of housing distribution, and as having complex and dynamic relations with social classes. Building on a critique of both the productionist and the consumptionist literature, as well as of formalist accounts of the relations between tenure and class, the paper attempts to lay the foundations for a new theory of housing tenure. In order to do this, a new theory of class is articulated, which is then used to throw new light on the nature of class-tenure relations

Third party consultation: a method for the study and resolution of conflict

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/66597/2/10.1177_002200277201600105.pd

Towards Intelligent Crowd Behavior Understanding through the STFD Descriptor Exploration

Realizing the automated and online detection of crowd anomalies from surveillance CCTVs is a research-intensive and application-demanding task. This research proposes a novel technique for detecting crowd abnormalities through analyzing the spatial and temporal features of input video signals. This integrated solution defines an image descriptor (named spatio-temporal feature descriptor - STFD) that reflects the global motion information of crowds over time. A CNN has then been adopted to classify dominant or large-scale crowd abnormal behaviors. The work reported has focused on: 1) detecting moving objects in online (or near real-time) manner through spatio-temporal segmentations of crowds that is defined by the similarity of group trajectory structures in temporal space and the foreground blocks based on Gaussian Mixture Model (GMM) in spatial space; 2) dividing multiple clustered groups based on the spectral clustering method by considering image pixels from spatio-temporal segmentation regions as dynamic particles; 3) generating the STFD descriptor instances by calculating the attributes (i.e., collectiveness, stability, conflict and crowd density) of particles in the corresponding groups; 4) inputting generated STFD descriptor instances into the devised convolutional neural network (CNN) to detect suspicious crowd behaviors. The test and evaluation of the devised models and techniques have selected the PETS database as the primary experimental data sets. Results against benchmarking models and systems have shown promising advancements of this novel approach in terms of accuracy and efficiency for detecting crowd anomalies