Critical Realism and Ecological Economics: Counter-Intuitive Adversaries or Ostensible Soulmates?

The paper questions the compatibility of critical realism with ecological economics. In particular, it is argued that there is radical dissonance between ontological presuppositions of ecological economics and critical realist perspective. The dissonance lies in the need of ecological economics to state strict causal regularities in socio-economic realm, given the environmental intuitions about the nature of economy and the role of materiality and non-human agency in persistence of economic systems. Using conceptual apparatus derived from Andrew Brown’s critique of critical realism and Bruno Latour’s actor-network theory, the paper refuses ontological nature/society dualism employed by critical realism, and stresses the role of non-humans in practical production and reproduction of socio-economic networks on the one hand, and in broadly defined ecological economic research on the other hand

Digging deep the oil world: corporate liability and environmental justice strategies

The impacts provoked by the expanding oil industry encompass environmental destruction, health impacts and violations of human rights. The increasing contamination jeopardizes safe conditions of life and destroys means of livelihood of vulnerable communities and of those relying on healthy ecosystems. Local communities, feeling that they are simply sacrificed to the oil industry, see themselves involved in social conflict. They are experiencing forms of environmental discrimination and might even face criminalisation of the protest when they stand up to defend their rights promoting the chilly effect on others who need and want to defend themselves and the environment. In fact, the number of lawsuits demanding justice for environmental, social, economical and cultural damages provoked by oil companies are increasing as well as their media visibility. Yet most outcomes are not satisfactory in tackling impacted communities claims for justice. This paper describes the most recent trends regarding oil corporations’ responsibilities and use of procedural justice by civil society through the review of emblematic legal cases

Do Political Institutions Shape Economic Policy?

Do political institutions shape economic policy? I argue that this question should naturally appeal to economists. Moreover, the answer is in the affirmative, both in theory and in practice. In particular, recent theoretical work predicts systematic eects of electoral rules and political regimes on the size and composition of government spending. And results from ongoing empirical work indicate that such eect are indeed present in international panel data. Some empirical results are consistent with theoretical predictions: presidential regimes have smaller governments and countries with majoritarian elections have smaller welfare-state programs and less corruption. Other results present puzzles for future research: the adjustment to economic events is clearly institution-dependent, as is the timing and nature of the electoral cycle.

Intelligent Association Exploration and Exploitation of Fuzzy Agents in Ambient Intelligent Environments

This paper presents a novel fuzzy-based intelligent architecture that aims to find relevant and important associations between embedded-agent based services that form Ambient Intelligent Environments (AIEs). The embedded agents are used in two ways; first they monitor the inhabitants of the AIE, learning their behaviours in an online, non-intrusive and life-long fashion with the aim of pre-emptively setting the environment to the users preferred state. Secondly, they evaluate the relevance and significance of the associations to various services with the aim of eliminating redundant associations in order to minimize the agent computational latency within the AIE. The embedded agents employ fuzzy-logic due to its robustness to the uncertainties, noise and imprecision encountered in AIEs. We describe unique real world experiments that were conducted in the Essex intelligent Dormitory (iDorm) to evaluate and validate the significance of the proposed architecture and methods

Literature review on the dynamics of social movements in fragile and conflict-affected states

This literature review assesses the available academic and policy-oriented literature on social movements in fragile and conflict-affected contexts. It examines who becomes involved in collective action and why, the barriers to mobilisation and, where social movements do emerge, how these are able to sustain mobilisation and broaden their membership base to reflect the interests of the wider community. Evidence from this review suggests the importance of considering the interplay of movement activity and state stability, and of taking into account existing state-society relationships. Donors could focus on creating a supportive environment for social movements

Individual voluntary participation in the United Kingdom: an overview of survey information

The measurement of voluntary activity is not straightforward; definitional and methodological questions affect the responses. This is true within the context of the UK but also in other countries of the developed world (Archambault 1993, Kendall and Knapp 1993, Gidron and Katz 1998, Salamon and Sokolowski 2001). The existence of definitional difficulties and ambiguities has a detrimental impact on the quality of academic research and policy-making in this sphere. Firstly, it impedes orderly collection of statistical information on volunteering in administrative sources. Also, it complicates the collection of survey information: the absence of well-understood and widely-agreed concepts of voluntarism in the public mind introduces uncertainty in people’s responses. To date, however, there has not been an attempt to compare findings of different surveys systematically. This paper aims to fill the gap in research by reviewing the available surveys for the UK. It focuses specifically on the methods used to obtain information on volunteering and the comparability of the results generated by different surveys

Synthesizing Political Zero-Shot Relation Classification via Codebook Knowledge, NLI, and ChatGPT

Recent supervised models for event coding vastly outperform pattern-matching methods. However, their reliance solely on new annotations disregards the vast knowledge within expert databases, hindering their applicability to fine-grained classification. To address these limitations, we explore zero-shot approaches for political event ontology relation classification, by leveraging knowledge from established annotation codebooks. Our study encompasses both ChatGPT and a novel natural language inference (NLI) based approach named ZSP. ZSP adopts a tree-query framework that deconstructs the task into context, modality, and class disambiguation levels. This framework improves interpretability, efficiency, and adaptability to schema changes. By conducting extensive experiments on our newly curated datasets, we pinpoint the instability issues within ChatGPT and highlight the superior performance of ZSP. ZSP achieves an impressive 40% improvement in F1 score for fine-grained Rootcode classification. ZSP demonstrates competitive performance compared to supervised BERT models, positioning it as a valuable tool for event record validation and ontology development. Our work underscores the potential of leveraging transfer learning and existing expertise to enhance the efficiency and scalability of research in the field.Comment: Preprin