Intrinsicality and Grounding

A number of philosophers have recently claimed that intrinsicality can be analysed in terms of the metaphysical notion of grounding. Since grounding is a hyperintensional notion, accounts of intrinsicality in terms of grounding, unlike most other accounts, promise to be able to discriminate between necessarily coextensive properties that differ in whether they are intrinsic. They therefore promise to be compatible with popular metaphysical theories that posit necessary entities and necessary connections between wholly distinct entities, on which it is plausible that there are such properties. This paper argues that this promise is illusory. It is not possible to give an analysis of intrinsicality in terms of grounding that is consistent with these theories. Given an adequate analysis should be compatible with these theories, it follows that it is not possible to analyse intrinsicality in terms of grounding.     

Broad Consent for Research With Biological Samples: Workshop Conclusions

Different types of consent are used to obtain human biospecimens for future research. This variation has resulted in confusion regarding what research is permitted, inadvertent constraints on future research, and research proceeding without consent. The National Institutes of Health (NIH) Clinical Center's Department of Bioethics held a workshop to consider the ethical acceptability of addressing these concerns by using broad consent for future research on stored biospecimens. Multiple bioethics scholars, who have written on these issues, discussed the reasons for consent, the range of consent strategies, and gaps in our understanding, and concluded with a proposal for broad initial consent coupled with oversight and, when feasible, ongoing provision of information to donors. This article describes areas of agreement and areas that need more research and dialogue. Given recent proposed changes to the Common Rule, and new guidance regarding storing and sharing data and samples, this is an important and timely topic.     

Leveraging social media content to support engagement in positive interventions

A key challenge for positive psychology interventions is promoting sustained engagement to improve long-term outcomes. One way to increase engagement is to introduce variety to reduce hedonic adaptation. Here, we propose supplementing intervention prompts with items from a person’s social media archive to add variety. Through a one-week pilot study of six positive psychology activities via a Facebook application, we explore whether Facebook content is useful to keep people engaged in activities and what attributes of content make it most useful. A total of 260 participants used our application, and analysis of usage showed that displaying content is engaging. By looking at which content was marked as useful by participants, we find that useful content is in itself meaningful and engaging (photos, longer texts, and content about close friends). We also find that certain intervention activities are more engaging and better suited for making use of Facebook content than others.     

Moral violations reduce oral consumption

Consumers frequently encounter moral violations in everyday life. They watch movies and television shows about crime and deception, hear news reports of corporate fraud and tax evasion, and hear gossip about cheaters and thieves. How does exposure to moral violations influence consumption? Because moral violations arouse disgust and because disgust is an evolutionarily important signal of contamination that should provoke a multi-modal response, we hypothesize that moral violations affect a key behavioral response to disgust: reduced oral consumption. In three experiments, compared with those in control conditions, people drank less water and chocolate milk while (a) watching a film portraying the moral violations of incest, (b) writing about moral violations of cheating or theft, and (c) listening to a report about fraud and manipulation. These findings imply that “moral disgust” influences consumption in ways similar to core disgust, and thus provide evidence for the associations between moral violations, emotions, and consumer behavior.     

Ideology and Gender: Observers’ System Justification and Targets’ Gender as Interactive Predictors of Citizenship Expectations

We integrate system justification and social role theory to explain how observers’ system justification and target employees’ gender interact to predict observers’ expectations of targets’ sportsmanship citizenship behaviors. In contrast with social role theory predictions, observers did not expect greater levels of sportsmanship from women compared to men. Yet observers expected more sportsmanship from women (a) when observers were ideologically motivated by gender-specific beliefs (gender-specific system justification; Study 1) and (b) when system justification was cued experimentally (Study 2). A heretofore-unexamined aspect, observers’ ideology, modifies their expectations of sportsmanship citizenship across target genders. This has implications for system justification, social role, and organizational citizenship theoretical perspectives.     

Lewis vs Lewis on the problem of the many

Consider a cat on a mat. On the one hand, there seems to be just one cat, but on the other there seem to be many things with as good a claim as anything in the vicinity to being a cat. Hence, the problem of the many. In his ‘Many, but Almost One,’ David Lewis offered two solutions. According to the first, only one of the many is indeed a cat, although it is indeterminate exactly which one. According to the second, the many are all cats, but they are almost identical to each other, and hence they are almost one. For Lewis, the two solutions do not compete with each other but are mutually complementary, as each one can assist the other. This paper has two aims: to give some reasons against the first of these two solutions, but then to defend the second as a self-standing solution from Lewis’s considerations to the contrary.     

Optimistic Naturalism: Scientific Advancement and the Meaning of Life

Naturalist theories of the meaning of life are sometimes criticised for not setting the bar high enough for what counts as a meaningful life. Tolstoy’s version of this criticism is that Naturalist theories do not describe really meaningful lives because they do not require that we connect our finite lives with the infinite. Another criticism of Naturalist theories is that they cannot adequately resolve the Absurd—the vast difference between how meaningful our actions and lives appear from subjective and objective viewpoints. This article proposes a novel view, Optimistic Naturalism, in order to refute these criticisms. Optimistic Naturalism is the view that scientific and technological advancement might allow us to lead Truly Meaningful lives in a purely physical universe by enabling our actions, which we find meaningful partly because they might have particular infinite consequences, to actually have infinite consequences for life. The central tenets of Optimistic Naturalism are Infinite Consequence and Scientific Optimism. By explaining how the correct connection of the subjective and objective meaning of actions can result in True Meaning, Infinite Consequence provides a theoretical blueprint for resolving the Absurd. Scientific Optimism provides reason to think that it is possible to follow that blueprint in a purely physical universe. Therefore, when taken together, these two principles provide relatively plausible reasons to think that at least one kind of Naturalist theory can connect the finite with the infinite in a meaningful way and resolve the Absurd.     

Analyzing the Rate at Which Languages Lose the Influence of a Common Ancestor

Analyzing the rate at which languages change can clarify whether similarities across languages are solely the result of cognitive biases or might be partially due to descent from a common ancestor. To demonstrate this approach, we use a simple model of language evolution to mathematically determine how long it should take for the distribution over languages to lose the influence of a common ancestor and converge to a form that is determined by constraints on language learning. We show that modeling language learning as Bayesian inference of n binary parameters or the ordering of n constraints results in convergence in a number of generations that is on the order of n log n. We relax some of the simplifying assumptions of this model to explore how different assumptions about language evolution affect predictions about the time to convergence; in general, convergence time increases as the model becomes more realistic. This allows us to characterize the assumptions about language learning (given the models that we consider) that are sufficient for convergence to have taken place on a timescale that is consistent with the origin of human languages. These results clearly identify the consequences of a set of simple models of language evolution and show how analysis of convergence rates provides a tool that can be used to explore questions about the relationship between accounts of language learning and the origins of similarities across languages.