Breaching the social contract: crises of democratic representation and patterns of extreme right party support

Why has the extreme right Greek Golden Dawn, a party with clear links to fascism experienced a rise defying all theories that claim that such a party is unlikely to win in post-WWII Europe? And, if we accept that economic crisis is an explanation for this, why has such a phenomenon not occurred in other countries that have similar conducive conditions, such as Portugal and Spain? This article addresses this puzzle by (a) carrying out a controlled comparison of Greece, Portugal and Spain and (b) showing that the rise of the extreme right is not a question of intensity of economic crisis. Rather it is the nature of the crisis, i.e. economic versus overall crisis of democratic representation that facilitates the rise of the extreme right. We argue that extreme right parties are more likely to experience an increase in their support when economic crisis culminates into an overall crisis of democratic representation. Economic crisis is likely to become a political crisis when severe issues of governability impact upon the ability of the state to fulfil its social contract obligations. This breach of the social contract is accompanied by declining levels of trust in state institutions, resulting in party system collapse.

Whose peace? Local ownership and UN peacebuilding

In recent years, there has been an increasing emphasis on the participation of national actors in United Nations peace operations, reflecting what has become a near orthodox commitment to ‘local ownership.’ Advocates of local ownership assert that it: (1) increases the legitimacy of UN peacebuilding efforts; (2) increases the sustainability of peacebuilding activities after the departure of the UN; and (3) increases democratic governance in post-conflict states. While such thinking about local ownership has informed UN peacebuilding policy to a large extent, the UN has, to date, assumed these positive benefits without critically examining the causal mechanisms that allegedly produce them, specifying the conditions under which this correlation holds, or providing convincing evidence for these assertions. Moreover, exactly what local ownership is, what is being owned, and who local ‘owners’ are remain unclear. Indeed a closer examination of ownership’s relation with legitimacy, sustainability, and democratization reveal a plethora of contradictions that imply that local ownership may in fact decrease the UN’s ability to deliver peacekeeping results. Crucially, however, the UN persists in adopting a local ownership approach to peacebuilding, suggesting that it does so because it is normatively appropriate rather than operationally effective.

Selecting algorithms for Earth observation of climate within the European Space Agency Climate Change initiative: introduction to a special issue

This special issue is focused on the assessment of algorithms for the observation of Earth’s climate from environ- mental satellites. Climate data records derived by remote sensing are increasingly a key source of insight into the workings of and changes in Earth’s climate system. Producers of data sets must devote considerable effort and expertise to maximise the true climate signals in their products and minimise effects of data processing choices and changing sensors. A key choice is the selection of algorithm(s) for classification and/or retrieval of the climate variable. Within the European Space Agency Climate Change Initiative, science teams undertook systematic assessment of algorithms for a range of essential climate variables. The papers in the special issue report some of these exercises (for ocean colour, aerosol, ozone, greenhouse gases, clouds, soil moisture, sea surface temper- ature and glaciers). The contributions show that assessment exercises must be designed with care, considering issues such as the relative importance of different aspects of data quality (accuracy, precision, stability, sensitivity, coverage, etc.), the availability and degree of independence of validation data and the limitations of validation in characterising some important aspects of data (such as long-term stability or spatial coherence). As well as re- quiring a significant investment of expertise and effort, systematic comparisons are found to be highly valuable. They reveal the relative strengths and weaknesses of different algorithmic approaches under different observa- tional contexts, and help ensure that scientific conclusions drawn from climate data records are not influenced by observational artifacts, but are robust.