Law, Rights and Reproduction: Reproductive Autonomy in Ethical Rationalism

As medical technology has advanced, so too have our attitudes towards the level of control we can expect to hold over our procreative capacities. This creates a multi-dimensional problem for the law in terms of access to services which prevent conception, access to services which terminate a pregnancy and recompensing those whose choices to avoid procreating are frustrated. These developments go to the heart of our perception of autonomy. In order to evaluate these three issues in relation to reproductive autonomy, I set out to investigate how the Gewirthian theory of ethical rationalism can be used to understanding the intersection between law, rights, and autonomy. As such, I assert that it is because of agents’ ability to engage in practical reason that the concept of legal enterprise should be grounded in rationality. Therefore, any attempt to understand notions of autonomy must be based on the categorical imperative derived from the Principle of Generic Consistency (PGC). As a result, I claim that (a) a theory of legal rights must be framed around the indirect application of the PGC and (b) a model of autonomy must account for the limitations drawn by the rational exercise of reason. This requires support for institutional policies which genuinely uphold the rights of agents. In so doing, a greater level of respect for and protection of reproductive autonomy is possible. This exhibits the full conceptual metamorphosis of the PGC from a rational moral principle, through an ethical collective principle, a constitutional principle of legal reason, a basis for rights discourse, and to a model of autonomy. Consequently, the law must be reformed to reflect the rights of agents in these situations and develop an approach which demonstrates a meaningful respect of autonomy. I suggest that this requires rights of access to services, rights to reparation and duties on the State to empower productive agency.

Engaging with the public in public engagement with research

Though there is now growing commitment to publicly engaged research, the role and definition of the public in such processes is wide-ranging, contested, and often rather vague. This article addresses this problem by showing that, although there is no single agreed upon theory or way of being public, it is still possible and very important to develop clear, public-centric, understandings of engaged research practice. The article introduces a multi-dimensional framework based on the theoretical literature on the ‘public’, and demonstrates – in the context of a recent engaged research project – how it possible to conceptualise, design and evaluate context-specific formations of the public. Starting from an understanding of publics as mediated and dynamic entities, the article seeks to illuminate some of the choices that researchers face and how the framework can help them navigate these. This article is for all those interested in what it means to address, support and account for an engaged public in contemporary settings.

A model for information retrieval driven by conceptual spaces

A retrieval model describes the transformation of a query into a set of documents. The question is: what drives this transformation? For semantic information retrieval type of models this transformation is driven by the content and structure of the semantic models. In this case, Knowledge Organization Systems (KOSs) are the semantic models that encode the meaning employed for monolingual and cross-language retrieval. The focus of this research is the relationship between these meanings’ representations and their role and potential in augmenting existing retrieval models effectiveness. The proposed approach is unique in explicitly interpreting a semantic reference as a pointer to a concept in the semantic model that activates all its linked neighboring concepts. It is in fact the formalization of the information retrieval model and the integration of knowledge resources from the Linguistic Linked Open Data cloud that is distinctive from other approaches. The preprocessing of the semantic model using Formal Concept Analysis enables the extraction of conceptual spaces (formal contexts)that are based on sub-graphs from the original structure of the semantic model. The types of conceptual spaces built in this case are limited by the KOSs structural relations relevant to retrieval: exact match, broader, narrower, and related. They capture the definitional and relational aspects of the concepts in the semantic model. Also, each formal context is assigned an operational role in the flow of processes of the retrieval system enabling a clear path towards the implementations of monolingual and cross-lingual systems. By following this model’s theoretical description in constructing a retrieval system, evaluation results have shown statistically significant results in both monolingual and bilingual settings when no methods for query expansion were used. The test suite was run on the Cross-Language Evaluation Forum Domain Specific 2004-2006 collection with additional extensions to match the specifics of this model.