Inside the tent: Community and government in refugee camps

Refugee camps are increasingly managed through a liberal rationality of government similar to that of many industrialized societies, with security mechanisms being used to optimize the life of particular refugee populations. This governmentality has encompassed programmes introduced by the United Nations High Commissioner for Refugees (UNHCR) and various non-governmental organizations (NGOs) to build and empower communities through the spatial technology of the camp. The present article argues that such attempts to ‘govern through community’ have been too easily dismissed or ignored. It therefore examines how such programmes work to produce, manage and conduct refugees through the use of a highly instrumentalized understanding of community in the spatial and statistical management of displaced people in camps. However, community is always both more and less than what is claimed of it, and therefore undermines attempts to use it as a governing tactic. By shifting to a more ontological understanding of community as unavoidable coexistence, inspired by Jean-Luc Nancy, we can see how the scripting of and government through community in camps is continually exceeded, redirected and resisted. Ethnographies of specific camps in Africa and the Middle East enable us both to see how the necessary sociality of being resists its own instrumentalization and to view the camp as a spatial security technology. Such resistance does not necessarily lead to greater security, but it redirects our attention to how community is used to conduct the behaviour of refugees, while also producing counter-conducts that offer greater agency, meaning and mobility to those displaced in camps.

Occupy Differently: Space, Community and Urban Counter-Conduct

This article demonstrates how the concept of counter-conducts helps us understand Occupy by directing attention to the correlation between the way advanced liberalism works to control urban spaces and the way that control is countered through Occupy’s tactics. The first section outlines the term counter-conducts by looking to Foucault’s short and undeveloped theorisation. The second examines how advanced liberalism conducts conduct through the use of urban space, concentrating on London which comes to form a space of and for the mobility and circulation of goods, people and ideas. Occupy’s tactics directly confront and counter such movement while engaging in its own forms of counter-circulation and (im)mobility. The third section examines how advanced liberal techniques have increasingly come to use a particular, heavily instrumentalised understanding of community in order to divide and control urban populations. Occupy’s tactics embody versions of community which confront and oppose such instrumentalisation, ultimately both engaging with that control and partially reproducing it. Through these counter-conducts we can come to a view of Occupy as inevitably succeeding in its failure as a movement and failing in its success, while opening to an (im)possible
futurity of occupying urban space differently.

Community and the Recognition of the Other: A Levinasian Examination of The City, Inc. 1987-1992

This case study examines how The City, Inc.’s work within North and South Minneapolis, Minnesota neighborhoods from 1987 and 1992 was framed within a compilation of articles drawn from prominent Twin Cities’ daily newspapers. Positioned within a conceptual framework based on the ethical philosophy of Emmanuel Levinas, this study explores how the idea of community, as constructed and reinforced through organizational initiatives and local print media, impacts the everyday relationships of those within and between communities. Framed within a discourse analysis, Levinasian ethics considers what aspects of community discourse restrict and oppress the relation with the other. The study concludes by suggesting how the identified aspects of conditional belonging, finding the trace, and building community can be valuable in offering an alternative to assessment-style research by considering the relationship and responsibility of the one for the other.

The images produced by La Presse de Montréal of the Black community and crime

Mémoire numérisé par la Division de la gestion de documents et des archives de l'Université de Montréal

“Spatial and Temporal Variation of Phytoplankton Community and Their Growth Limiting Factors in Cochin Backwater”

The influence of salinity on phytoplankton varies widely, because different species have different salinity preferences. Like marine and aquatic species, many phytoplankton species exhibit tolerance to certain salinity, beyond which, it can inhibit their growth. Light is the most important factor that influences phytoplankton growth. In aquatic environments (lakes, sea or estuary) the light incident on the surface is rapidly reduced exponentially with depth (Krik, 1994). In estuaries, the major factor influencing the light availability is the suspended particulate matter, which attenuates and scatters the light. The light changes with time of the day and the season, affecting the amount of light penetrating the water column. Similarly, biological factor like copepod grazing is a major factor influencing the standing crop of phytoplankton. The copepod can actively graze up to 75% of the phytoplankton biomass in a tropical estuary (Tan et. al., 2004). It is in the context that the present study investigates the salinity, light (physical factors) and copepod grazing (biological factor) phytoplankton as the factors controlling phytoplankton growth and distribution

Predicting sense of community and participation by applying machine learning to open government data

Community capacity is used to monitor socio-economic development. It is composed of a number of dimensions, which can be measured to understand the possible issues in the implementation of a policy or the outcome of a project targeting a community. Measuring community capacity dimensions is usually expensive and time consuming, requiring locally organised surveys. Therefore, we investigate a technique to estimate them by applying the Random Forests algorithm on secondary open government data. This research focuses on the prediction of measures for two dimensions: sense of community and participation. The most important variables for this prediction were determined. The variables included in the datasets used to train the predictive models complied with two criteria: nationwide availability; sufficiently fine-grained geographic breakdown, i.e. neighbourhood level. The models explained 77% of the sense of community measures and 63% of participation. Due to the low geographic detail of the outcome measures available, further research is required to apply the predictive models to a neighbourhood level. The variables that were found to be more determinant for prediction were only partially in agreement with the factors that, according to the social science literature consulted, are the most influential for sense of community and participation. This finding should be further investigated from a social science perspective, in order to be understood in depth.