Towards a More Particularist View of Rights’ Stringency

For all their various disagreements, one point upon which rights theorists often agree is that it is simply part of the nature of rights that they tend to override, outweigh or exclude competing considerations in moral reasoning, that they have ‘peremptory force’ (Raz in The Morality of Freedom, Oxford University Press, Oxford, 1986, p. 192), making ‘powerful demands’ that can only be overridden in ‘exceptional circumstances’ (Miller, in Cruft, Liao, Renzo (eds), Philosophical Foundations of Human Rights, Oxford University Press, Oxford, 2016, p. 240). In this article I challenge this thought. My aim here is not to prove that the traditional view of rights’ stringency is necessarily false, nor even that we have no good reason to believe it is true. Rather, my aim is only to show that we have good reason to think that the foundation of the traditional position is less stable than we might have otherwise supposed and that an alternative conception of rights—one which takes the stringency of any given right as particular to the kind of right it is—is both viable and attractive. In short, to begin to move us towards a more ‘particularist’ conception of rights’ standing in moral reasoning and judgement

On Engster's care-justification of the specialness thesis about healthcare

To say health is ‘special’ is to say that it has a moral significance that differentiates it from other goods (cars, say or radios) and, as a matter of justice, warrants distributing it separately. In this essay, I critique a new justification for the specialness thesis about healthcare (STHC) recently put forth by Engster. I argue that, regrettably, Engster's justification of STHC ultimately fails and fails on much the same grounds as have previous justifications of STHC. However, I also argue that Engster's argument still adds something valuable to the debate around STHC insofar as it reminds us that the moral significance of healthcare may be wider than simply its effect on the incidence of disability and disease: one further reason we may think healthcare is morally significant is because it concerns the treatment and care of those who are already unwell

Does your electronic butler owe you a duty of confidentiality?

As artificial intelligence (AI) advances the legal issues have not progressed in step and principles that exist have become outdated in a relatively short time. Privacy is a major concern and the myriad of devices that store data for wide ranging purposes risk breaches of privacy. Treating such a breach as a design defect or technical fault, does not reflect the complexities of legal liability that apply to robotics. Where advanced levels of AI are involved, such as with electronic butlers and carers used increasingly to assist vulnerable and ageing populations, the question of whether a robot owes a duty of confidentiality to the person for whom they are caring is becoming ever more pertinent. This question is considered in detail and it is concluded that a duty may be owed in some cases. After a brief introduction (I.) the article picks up on the aspects of legal agency and AI (II.) and examines robots as social beeings (III.), their relation- ship to duty (IV.) as well as their capacity as "extended cognition" (V.). These aspects are then brought in con- text with issues of data protection (VI.) and the general relationship between civil law, ethics and robotics (VII.) before conclusions (VIII.) are drawn

Patient data ownership

Response of article in JAMA advocating patient data ownershi

Effects of spiritual care training for palliative care professionals

Little is known about the effects of spiritual care training for professionals in palliative medicine. We therefore investigated prospectively the effects of such training over a six-month period. All 63 participants of the three and a half-day training were asked to fill out three questionnaires: before and after the training, as well as six months later. The questionnaires included demographic data, numeric rating scales about general attitudes towards the work in palliative care, the Self-Transcendence Scale (STS), the spiritual subscale of the Functional Assessment of Chronic Illness Therapy (FACIT-Sp) and the Idler Index of Religiosity (IIR). Forty-eight participants (76) completed all three questionnaires (91 women, median age 49 years; 51 nurses, 16 hospice volunteers, 14 physicians).Significant and sustained improvements were found in self-perceived compassion for the dying (after the training: P =0.002; 6 months later: P=0.025), compassion for oneself (P < 0.001; P =0.013), attitude towards one's family (P =0.001; P =0.031), satisfaction with work (P < 0.001; P =0.039), reduction in work-related stress (P < 0.001; P =0.033), and attitude towards colleagues (P =0.039; P =0.040), as well as in the FACIT-Sp (P < 0.001; P =0.040). Our results suggest that the spiritual care training had a positive influence on the spiritual well-being and the attitudes of the participating palliative care professionals which was preserved over a six-month period

The Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP): Overview and description of models, simulations and climate diagnostics

The Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP) consists of a series of time slice experiments targeting the long-term changes in atmospheric composition between 1850 and 2100, with the goal of documenting composition changes and the associated radiative forcing. In this overview paper, we introduce the ACCMIP activity, the various simulations performed (with a requested set of 14) and the associated model output. The 16 ACCMIP models have a wide range of horizontal and vertical resolutions, vertical extent, chemistry schemes and interaction with radiation and clouds. While anthropogenic and biomass burning emissions were specified for all time slices in the ACCMIP protocol, it is found that the natural emissions are responsible for a significant range across models, mostly in the case of ozone precursors. The analysis of selected present-day climate diagnostics (precipitation, temperature, specific humidity and zonal wind) reveals biases consistent with state-of-the-art climate models. The model-to-model comparison of changes in temperature, specific humidity and zonal wind between 1850 and 2000 and between 2000 and 2100 indicates mostly consistent results. However, models that are clear outliers are different enough from the other models to significantly affect their simulation of atmospheric chemistry

Radiative forcing from modelled and observed stratospheric ozone changes due to the 11-year solar cycle

International audienceThree analyses of satellite observations and two sets of model studies are used to estimate changes in the stratospheric ozone distribution from solar minimum to solar maximum and are presented for three different latitudinal bands: Poleward of 30° north, between 30° north and 30° south and poleward of 30° south. In the model studies the solar cycle impact is limited to changes in UV fluxes. There is a general agreement between satellite observation and model studies, particular at middle and high northern latitudes. Ozone increases at solar maximum with peak values around 40 km. The profiles are used to calculate the radiative forcing (RF) from solar minimum to solar maximum. The ozone RF, calculated with two different radiative transfer schemes is found to be negligible (a magnitude of 0.01 Wm?2 or less), compared to the direct RF due to changes in solar irradiance, since contributions from the longwave and shortwave nearly cancel each other. The largest uncertainties in the estimates come from the lower stratosphere, where there is significant disagreement between the different ozone profiles

Multi-model evaluation of short-lived pollutant distributions over East Asia during summer 2008

The ability of seven state of the art chemistry-aerosol models to reproduce distributions of tropospheric ozone and its precursors, as well as aerosols over eastern Asia in summer 2008 is evaluated. The study focuses on the performance of models used to assess impacts of pollutants on climate and air quality as part of the EU ECLIPSE project. Models, run using the same ECLIPSE emissions, are compared over different spatial scales to in-situ surface, vertical profile and satellite data. Several rather clear biases are found between model results and observations including overestimation of ozone at rural locations downwind of the main emission regions in China as well as downwind over the Pacific. Several models produce too much ozone over polluted regions which is then transported downwind. Analysis points to different factors related to the ability of models to simulate VOC limited regimes over polluted regions and NOx limited regimes downwind. This may also be linked to biases compared to satellite NO2 indicating overestimation of NO2 over and to the north of the northern China Plain emission region. On the other hand, model NO2 is too low to the south and east of this region and over Korean/Japan. Overestimation of ozone is linked to systematic underestimation of CO particularly at rural sites and downwind of the main Chinese emission regions. This is likely to be due to enhanced destruction of CO by OH. Overestimation of Asian ozone and its transport downwind implies that radiative forcing from this source may be overestimated. Model-observation discrepancies over Beijing do not appear to be due to emission controls linked to the Olympic Games in summer 2008. With regard to aerosols, most models reproduce the satellite-derived AOD patterns over eastern China. Our study nevertheless reveals an overestimation of ECLIPSE model-mean surface BC and sulphate aerosols in urban China in summer 2008. The effect of the short-term emission mitigation in Beijing is too weak to explain the differences between the models. Our results rather point to an overestimation of SO2 emissions, in particular, close to the surface in Chinese urban areas. However, we also identify a clear underestimation of aerosol concentrations over northern India, suggesting that the rapid recent growth of emissions in India, as well as their spatial extension, is underestimated in emission inventories. Model deficiencies in the representation of pollution accumulation due to the Indian monsoon may also be playing a role. Comparison with vertical aerosol lidar measurements highlights a general underestimation of scattering aerosols in the boundary layer associated with overestimation in the free troposphere pointing to modeled aerosol lifetimes that are too long. This is likely linked to a too strong vertical transport and/or insufficient deposition efficiency during transport or export from the boundary layer, rather than chemical processing (in the case of sulphate aerosols). Underestimation of sulphate in the boundary layer implies potentially large errors in simulated aerosol-cloud interactions, via impacts on boundary-layer clouds. This evaluation has important implications for accurate assessment of air pollutants on regional air quality and global climate based on global model calculations. Ideally, models should be run at higher resolution over source regions to better simulate urban-rural pollutant gradients/chemical regimes, and also to better resolve pollutant processing and loss by wet deposition as well as vertical transport. Discrepancies in vertical distributions requires further quantification and improvement since this is a key factor in the determination of radiative forcing from short-lived pollutants

The effect of future ambient air pollution on human premature mortality to 2100 using output from the ACCMIP model ensemble

Ambient air pollution from ground-level ozone and fine particulate matter (PM2.5) is associated with premature mortality. Future concentrations of these air pollutants will be driven by natural and anthropogenic emissions and by climate change. Using anthropogenic and biomass burning emissions projected in the four Representative Concentration Pathway scenarios (RCPs), the ACCMIP ensemble of chemistry-climate models simulated future concentrations of ozone and PM2.5 at selected decades between 2000 and 2100. We use output from the ACCMIP ensemble, together with projections of future population and baseline mortality rates, to quantify the human premature mortality impacts of future ambient air pollution. Future air pollution-related premature mortality in 2030, 2050 and 2100 is estimated for each scenario and for each model using a health impact function based on changes in concentrations of ozone and PM2.5 relative to 2000 and projected future population and baseline mortality rates. Additionally, the global mortality burden of ozone and PM2.5 in 2000 and each future period is estimated relative to 1850 concentrations, using present-day and future population and baseline mortality rates. The change in future ozone concentrations relative to 2000 is associated with excess global premature mortality in some scenarios/periods, particularly in RCP8.5 in 2100 (316 thousand deaths/year), likely driven by the large increase in methane emissions and by the net effect of climate change projected in this scenario, but it leads to considerable avoided premature mortality for the three other RCPs. However, the global mortality burden of ozone markedly increases from 382,000 (121,000 to 728,000) deaths/year in 2000 to between 1.09 and 2.36 million deaths/year in 2100, across RCPs, mostly due to the effect of increases in population and baseline mortality rates. PM2.5 concentrations decrease relative to 2000 in all scenarios, due to projected reductions in emissions, and are associated with avoided premature mortality, particularly in 2100: between -2.39 and -1.31 million deaths/year for the four RCPs. The global mortality burden of PM2.5 is estimated to decrease from 1.70 (1.30 to 2.10) million deaths/year in 2000 to between 0.95 and 1.55 million deaths/year in 2100 for the four RCPs, due to the combined effect of decreases in PM2.5 concentrations and changes in population and baseline mortality rates. Trends in future air pollution-related mortality vary regionally across scenarios, reflecting assumptions for economic growth and air pollution control specific to each RCP and region. Mortality estimates differ among chemistry-climate models due to differences in simulated pollutant concentrations, which is the greatest contributor to overall mortality uncertainty for most cases assessed here, supporting the use of model ensembles to characterize uncertainty. Increases in exposed population and baseline mortality rates of respiratory diseases magnify the impact on premature mortality of changes in future air pollutant concentrations and explain why the future global mortality burden of air pollution can exceed the current burden, even where air pollutant concentrations decrease

Spinoza’s genealogical critique of his contemporaries’ axiology

Among Spinoza’s principal projects in the Ethics is his effort to “remove” certain metaethical prejudices from the minds of his readers, to “expose” them, as he has similar misconceptions about other matters, by submitting them to the “scrutiny of reason”. In this article, I consider the argumentative strategy Spinoza uses here – and its intellectual history – in depth. I argue that Spinoza’s method is best characterised as a genealogical analysis. As I recount, by Spinoza’s time of writing, these kinds of arguments already had a long and illustrious history. However, I also argue that, in his adoption of such strategies, we have good reason to think Spinoza’s primary influence was Gersonides. Elucidating this aspect of Spinoza’s critique of his contemporaries’ axiologies brings a number of explicatory and historical boons. However, regrettably, it also comes at a cost, revealing a significant flaw in Spinoza’s reasoning. Towards the end of this article, I consider the nature of this flaw, whether Spinoza can avoid it and its ramifications for Spinoza’s wider philosophical project