scholarly journals An Ethical Framework for the Use of Horses in Competitive Sport: Theory and Function

Animals ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1725 ◽  
Author(s):  
Madeleine L. H. Campbell

Growing ethical concern about equestrian sport is reflected in publications by regulatory authorities, animal charities, and the lay press; and in government debate and social media. However, attempts by regulators and stakeholders to address ethical issues in equine sport have been discipline specific and ad hoc. Ethical frameworks can help stakeholders to make contextual decisions about what should or should not be done in a particular situation. However, when existing animal welfare frameworks and existing sports ethics frameworks are reviewed in this paper, it becomes clear that none provide us with a suitable or sufficient tool for considering ethical issues which can arise in situations where the athlete is a non-human, non-consenting participant. This paper presents the theoretical development of a novel ethical framework, with the aim of providing stakeholders with a tool which they might apply to the consideration of the ethical questions which inevitably arise in relation to (equestrian) sport. The derivation and limitations of the ethical framework are explained. The use of the framework will serve both to underwrite the continuation of the social license to use horses in sport and also to enable those within equestrian sport to critically assess existing and proposed practices and to make welfare-improving adjustments to practice if/where necessary. The theoretical framework as presented here is currently being practically tested and refined in consultation with industry stakeholders, and that research will be submitted for publication in due course.

2019 ◽  
Vol 9 (4) ◽  
pp. 522-539
Author(s):  
Ann-Marie Kennedy ◽  
Nicholas Santos

Purpose Social marketers set out to undertake interventions that benefit society. However, at times, there can be inadvertent, unintended consequences of these interventions that can be seen as unethical. Such ethical issues can arise from the context, process, method and outcomes of interventions and often bring to the fore the “social fairness” of social marketing. Given that social marketing is aimed at societal benefit, the authors believe that the issue of social fairness is an important one in the context of ethical social marketing. With that in mind, the purpose of this paper is to provide a discussion of the application of a normative ethical framework, labelled the integrative justice model (IJM) (Santos and Laczniak, 2009), to social marketing. This amounts to a macro-social marketing ethical framework. Design/methodology/approach Conceptual broadening of a normative ethical framework. Findings The authors hold that the IJM provides several helpful normative guidelines for improving the “social fairness” of social marketing. As such, the presented normative framework of macro-social marketing ethics provides useful guidelines for future development of social marketing codes of ethics. Practical implications The macro-social marketing ethics framework provides practical guidelines for social marketers to assess ethical issues in social marketing. Originality/value The macro-social marketing ethics framework answers the call of Carter, Mayes, Eagle and Dahl (2017) for development of ethical frameworks for social marketers. It provides a reconciliation of multiple normative frameworks to give a set of guidelines for social marketers that are clear and non-contradictory.


2021 ◽  
Author(s):  
Maria Koromina ◽  
Vasileios Fanaras ◽  
Gareth Baynam ◽  
Christina Mitropoulou ◽  
George P Patrinos

Rapid advances in next-generation sequencing technology, particularly whole exome sequencing and whole genome sequencing, have greatly affected our understanding of genetic variation underlying rare genetic diseases. Herein, we describe ethical principles of guiding consent and sharing of genomics research data. We also discuss ethical dilemmas in rare diseases research and patient recruitment policies and address bioethical and societal aspects influencing the ethical framework for genetic testing. Moreover, we focus on addressing ethical issues surrounding research in low- and middle-income countries. Overall, this perspective aims to address key aspects and issues for building proper ethical frameworks, when conducting research involving genomics data with a particular emphasis on rare diseases and genetics testing.


2016 ◽  
Vol 3 (1) ◽  
Author(s):  
María Jesús Rodríguez-Triana ◽  
Alejandra Martínez-Monés ◽  
Sara Villagrá-Sobrino

As a further step towards maturity, the field of learning analytics (LA) is working on the definition of frameworks that structure the legal and ethical issues that scholars and practitioners must take into account when planning and applying LA solutions to their learning contexts. However, current efforts in this direction tend to be focused on institutional higher education approaches. This paper reflects on the need to extend these ethical frameworks to cover other approaches to LA; more concretely, small-scale classroom-oriented approaches that aim to support teachers in their practice. This reflection is based on three studies where we applied our teacher-led learning analytics approach in higher education and primary school contexts. We describe the ethical issues that emerged in these learning scenarios, and discuss them according to three dimensions: the overall learning analytics approach, the particular solution to learning analytics adopted, and the educational contexts where the analytics are applied. We see this effort as a first step towards the wider objective of providing a more comprehensive and adapted ethical framework to learning analytics that is able to address the needs of different learning analytics approaches and educational contexts.


Author(s):  
Barbara B. Biesecker ◽  
Kathryn F. Peters ◽  
Robert Resta

Genetic counseling engenders thorny ethical issues that expand as genetic testing technology continues to evolve. Genetic counselors are frequently faced with bioethical dilemmas that, by their very nature, are not easily resolved. This chapter reviews some of the common ethical frameworks for considering ethically complex situations—deontology, casuistry, principilism, and feminist ethics. These ethical approaches are illustrated by applying them to a case of a mother who is a BRCA mutation carrier and is trying to make a decision about genetic testing for her fourteen-year-old daughter. No one ethical framework will be applicable to all genetic counseling dilemmas, but familiarity with these different approaches can help counselors better understand the value of each approach in assessing a variety of clinical situations. A model is presented showing how to manage, think about, and think through ethical dilemmas.


2020 ◽  
Vol 44 (4) ◽  
pp. 541-552
Author(s):  
Simon Joyce

This article proposes a re-theorisation of the main social relations of platform work, based on two concepts drawn from Marx: subsumption of labour and the cash nexus. Platform work research to date is heavily empirical in character, with little theoretical development. As a result, the social relations of platform work are treated descriptively, using ad hoc or common-sense categories, or platforms’ own terminology. This under-theorisation leads to over-estimation of platform work’s novelty, decentring of capital in accounts of its development, incipient technological determinism and problematic generalisation from emergent trends. In place of the commonly assumed ‘triangle’ of platform work relations, this article argues that platform work is best understood in terms of an emerging labour–capital relation, which establishes a cash nexus between platform and worker as a result of a process of subsumption. This re-theorisation, in turn, helps to understand the rapid emergence of platform worker organisation and resistance, and the similarity of its demands with worker resistance in other, more established areas of paid work under capitalist relations of production.


2017 ◽  
Vol 26 (2) ◽  
pp. 357-367 ◽  
Author(s):  
Carlo Botrugno

Over the last two decades, a public rationale for the implementation of telehealth has emerged at the interplay of specialised literature and political orientations. Despite the lack of consistent findings on the magnitude of its benefits, telehealth is nowadays presented as a worthy solution both for patients and healthcare institutions. Far from denying the potential advantages of telehealth, the main objective of this work is to provide a critical assessment on the spread of the remote services as a vector of positive transformation of contemporary health systems. For pursuing this objective, the EU agenda for the promotion of telehealth will be retraced, and the main evidences alleged to sustain the implementation of remote care services will be assessed. Furthermore, it will be evaluated the attempt made by the European Commission to establish an ethical framework for guiding the use of telehealth in daily practice, and a roadmap of the most relevant legal and ethical issues posed by the spread of telehealth will be traced. In the conclusions, it will be argued that the radical transformations induced by this form of technological innovation call on to a new, ad hoc ethics through which critically evaluate benefits and implications of telehealth services, with a view to keep high the standard of healthcare against the economic interests of private stakeholders and ICTs’ vendors.


Author(s):  
Maxwell Smith ◽  
Ross Upshur

Infectious disease pandemics raise significant and novel ethical challenges to the organization and practice of public health. This chapter provides an overview of the salient ethical issues involved in preparing for and responding to pandemic disease, including those arising from deploying restrictive public health measures to contain and curb the spread of disease (e.g., isolation and quarantine), setting priorities for the allocation of scarce resources, health care workers’ duty to care in the face of heightened risk of infection, conducting research during pandemics, and the global governance of preventing and responding to pandemic disease. It also outlines ethical guidance from prominent ethical frameworks that have been developed to address these ethical issues and concludes by discussing some pressing challenges that must be addressed if ethical reflection is to make a meaningful difference in pandemic preparedness and response.


Author(s):  
Alessandro Blasimme ◽  
Effy Vayena

This chapter explores ethical issues raised by the use of artificial intelligence (AI) in the domain of biomedical research, healthcare provision, and public health. The litany of ethical challenges that AI in medicine raises cannot be addressed sufficiently by current regulatory and ethical frameworks. The chapter then advances the systemic oversight approach as a governance blueprint, which is based on six principles offering guidance as to the desirable features of oversight structures and processes in the domain of data-intense biomedicine: adaptivity, flexibility, inclusiveness, reflexivity, responsiveness, and monitoring (AFIRRM). In the research domain, ethical review committees will have to incorporate reflexive assessment of the scientific and social merits of AI-driven research and, as a consequence, will have to open their ranks to new professional figures such as social scientists. In the domain of patient care, clinical validation is a crucial issue. Hospitals could equip themselves with “clinical AI oversight bodies” charged with the task of advising clinical administrators. Meanwhile, in the public health sphere, the new level of granularity enabled by AI in disease surveillance or health promotion will have to be negotiated at the level of targeted communities.


2021 ◽  
Vol 27 (1) ◽  
Author(s):  
Alex McKeown ◽  
Miranda Mourby ◽  
Paul Harrison ◽  
Sophie Walker ◽  
Mark Sheehan ◽  
...  

AbstractData platforms represent a new paradigm for carrying out health research. In the platform model, datasets are pooled for remote access and analysis, so novel insights for developing better stratified and/or personalised medicine approaches can be derived from their integration. If the integration of diverse datasets enables development of more accurate risk indicators, prognostic factors, or better treatments and interventions, this obviates the need for the sharing and reuse of data; and a platform-based approach is an appropriate model for facilitating this. Platform-based approaches thus require new thinking about consent. Here we defend an approach to meeting this challenge within the data platform model, grounded in: the notion of ‘reasonable expectations’ for the reuse of data; Waldron’s account of ‘integrity’ as a heuristic for managing disagreement about the ethical permissibility of the approach; and the element of the social contract that emphasises the importance of public engagement in embedding new norms of research consistent with changing technological realities. While a social contract approach may sound appealing, however, it is incoherent in the context at hand. We defend a way forward guided by that part of the social contract which requires public approval for the proposal and argue that we have moral reasons to endorse a wider presumption of data reuse. However, we show that the relationship in question is not recognisably contractual and that the social contract approach is therefore misleading in this context. We conclude stating four requirements on which the legitimacy of our proposal rests.


2021 ◽  
Vol 10 (2) ◽  
pp. 36
Author(s):  
Michael Weinhardt

While big data (BD) has been around for a while now, the social sciences have been comparatively cautious in its adoption for research purposes. This article briefly discusses the scope and variety of BD, and its research potential and ethical implications for the social sciences and sociology, which derive from these characteristics. For example, BD allows for the analysis of actual (online) behavior and the analysis of networks on a grand scale. The sheer volume and variety of data allow for the detection of rare patterns and behaviors that would otherwise go unnoticed. However, there are also a range of ethical issues of BD that need consideration. These entail, amongst others, the imperative for documentation and dissemination of methods, data, and results, the problems of anonymization and re-identification, and the questions surrounding the ability of stakeholders in big data research and institutionalized bodies to handle ethical issues. There are also grave risks involved in the (mis)use of BD, as it holds great value for companies, criminals, and state actors alike. The article concludes that BD holds great potential for the social sciences, but that there are still a range of practical and ethical issues that need addressing.


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