Volume 1. The oppression of nonhuman animals as sources of food -- Volume 2. The oppressive and destructive role of capitalism.

The American Journal of Bioethics, Volume 11, Issue 7, Page 18-20, July 2011.

From David Brat, the college professor who made political headlines when he unseated Majority Leader Eric Cantor, comes his plan for restoring fiscal liberty for America. Congressman David Brat's odds-defying win against Eric Cantor--a triumph of a modest $200,000 campaign fund against a $5 million war chest--immediately brought David Brat, heretofore a liberal arts college economics professor, into the political limelight. Now, in his first book, AMERICAN UNDERDOG, Brat examines how we brought down the status quo by (...) tapping into moral and economic lessons as old as our civilization and discusses how Washington can learn from history instead of ignoring it. A fighter for children, he illuminates how our current fiscal policies are selling their future, and outlines new ways to move forward with a conservative agenda that provides fairer treatment for all. (shrink)

Name der Zeitschrift: Byzantinische Zeitschrift Jahrgang: 108 Heft: 2 Seiten: 809-826.

This year's volume of collected papers in the Current Legal Problems series provides in-depth analyses some important developments which have taken place in recent months. Public law has witnessed much activity both in the courts and in Parliament during the last twelve months and this is reflected in three essays which examine different aspects of human rights, equality, and the right to privacy. In the wake of the Royal Commission on Criminal Justice, two lengthy essays deal with evidence in police (...) investigations and the concept of due process and pre-trial criminal justice. (shrink)

According to Bayesian epistemology, the epistemically rational agent updates her beliefs by conditionalization: that is, her posterior subjective probability after taking account of evidence X, pnew, is to be set equal to her prior conditional probability pold(·|X). Bayesians can be challenged to provide a justification for their claim that conditionalization is recommended by rationality—whence the normative force of the injunction to conditionalize? There are several existing justifications for conditionalization, but none directly addresses the idea that conditionalization will be epistemically rational (...) if and only if it can reasonably be expected to lead to epistemically good outcomes. We apply the approach of cognitive decision theory to provide a justification for conditionalization using precisely that idea. We assign epistemic utility functions to epistemically rational agents; an agent’s epistemic utility is to depend both upon the actual state of the world and on the agent’s credence distribution over possible states. We prove that, under independently motivated conditions, conditionalization is the unique updating rule that maximizes expected epistemic utility. (shrink)

It is widely recognized that ‘global’ symmetries, such as the boost invariance of classical mechanics and special relativity, can give rise to direct empirical counterparts such as the Galileo-ship phenomenon. However, conventional wisdom holds that ‘local’ symmetries, such as the diffeomorphism invariance of general relativity and the gauge invariance of classical electromagnetism, have no such direct empirical counterparts. We argue against this conventional wisdom. We develop a framework for analysing the relationship between Galileo-ship empirical phenomena on the one hand, and (...) physical theories that model such phenomena on the other, that renders the relationship between theoretical and empirical symmetries transparent, and from which it follows that both global and local symmetries can give rise to Galileo-ship phenomena. In particular, we use this framework to exhibit an analogue of Galileo’s ship for the local gauge invariance of electromagnetism. 1 Introduction2 Analogues of Galileo’s Ship? Faraday’s Cage and t’Hooft’s Beam-Splitter2.1 Faraday’s cage2.2 t’Hooft’s beam-splitter3 A Framework for Symmetries I: Systems and Subsystems4 An Example: Coulombic Electrostatics5 A Framework for Symmetries II: The Relationship between Theoretical and Empirical Symmetries6 Newtonian Gravity7 Local Symmetries that Are Not Boundary-Preserving: Classical Electromagnetism and Faraday’s Cage8 Local Boundary-Preserving Symmetries: Klein-Gordon-Maxwell Gauge Theory and t’Hooft’s Beam-Splitter9 Summary10 Conclusions. (shrink)

ABSTRACT The assumptions underlying the traditional biomedical model of health and illness and criticisms of it are described. An examination of the historical development of ideas concerning cot (crib) deaths shows how early explanations, which were congruent with this model, came to be discredited. Because subsequent explanations have also been considered unsatisfactory, cot deaths have come to be regarded as medically problematic. The relationship of models of health and illness to cot deaths has therefore been exposed to an unusual degree (...) of scrutiny. Two possible contending models, social epidemiological and socio‐economic are identified, and their status vis‐à‐vis the biomedical model is considered. The choice as to which of these models is applied to cot deaths is shown to be not only of theoretical interest but also to have ethical implications for health care policy and medical practice. (shrink)

There has been a modern epidemic of heart attacks in the western world, and this paper is concerned with this ‘new’ medical condition and how it arose. Two competing theories are commonly proposed, relating either to conventional accounts of medical science, or to social construction. Whilst recognising that aspects of both theories have some validity, it is claimed that neither is wholly adequate. This issue has particular relevance for heart attacks and is explored in some detail, but it also points (...) to some more general conclusions. First that medical knowledge cannot be separated into ‘scientific’ and ‘social’ compartments but is united by its human aspect; and second that although medical knowledge has a special dimension, when understood in this way, it may also resonate with a more general re-examination of the relationship between scientific and human knowledge. (shrink)

Armstrong describes the rise of a new mode of medical practice that he calls in the following terms: Surveillance medicine gives rise to a novel and underexplored aspect of the long-standing tension between the different goals of clinical medicine and public health.

This study is based on a critique of Western medicine derived from the proposition that any system of medicine must necessarily embody a mysterious quality. What is meant by mystery is an all encompassing element of indeterminancy and so of uncertainty in both the theory and practice of medicine.

ABSTRACTThe financial crisis of 2008 was unforeseen partly because the academic theories that underpin policy making do not sufficiently account for uncertainty and complexity or learned and evolved human capabilities for managing them. Mainstream theories of decision making tend to be strongly normative and based on wishfully unrealistic “idealized” modeling. In order to develop theories of actual decision making under uncertainty, we need new methodologies that account for how human actors often manage uncertain situations “well enough.” Some possibly helpful methodologies, (...) drawing on digital science, focus on the role of emotions in determining people's choices; others examine how people construct narratives that enable them to act; still others combine qualitative with quantitative data. (shrink)

We describe a strategy for integration of data that is based on the idea of semantic enhancement. The strategy promises a number of benefits: it can be applied incrementally; it creates minimal barriers to the incorporation of new data into the semantically enhanced system; it preserves the existing data (including any existing data-semantics) in their original form (thus all provenance information is retained, and no heavy preprocessing is required); and it embraces the full spectrum of data sources, types, models, and (...) modalities (including text, images, audio, and signals). The result of applying this strategy to a given body of data is an evolving Dataspace that allows the application of a variety of integration and analytic processes to diverse data contents. We conceive semantic enhancement (SE) as a lightweight and flexible process that leverages the richness of the structured contents of the Dataspace without adding storage and processing burdens to what, in the intelligence domain, will be an already storage- and processing-heavy starting point. SE works not by changing the data to which it is applied, but rather by adding an extra semantic layer to this data. We sketch how the semantic enhancement approach can be applied consistently and in cumulative fashion to new data and data-models that enter the Dataspace. (shrink)