When Shapes and Sounds become Words: Indexicals and the Metaphysics of Semantic Tokens

To avoid difficulties that arise when we appeal to speaker intentions or multiple rules to determine the meaning of indexicals, Cohen (2013) recently defends a conventionalist account of these terms that focuses on their context of tokening. Apart from some tricky cases already discussed in the literature, however, such an account faces a serious difficulty: in many speech acts, multiple apparent tokens are produced – for example when a speaker speaks on a telephone, and her utterance is heard both where she speaks, and at the location of the receiver of the call. The ‘token-contextual’ account seems to imply that in such cases a speaker will simultaneously produce multiple contradictory utterances. Here I argue that to resolve such problems we cannot help but to invoke speaker intentions. However, by appealing to intentions at the level of the metaphysics of semantic tokens, rather than to decide their meaning, the token-contextualist can make this appeal without reintroducing the difficulties associated with intentionalist accounts that she hopes to avoid. The resulting metaphysics of semantic tokens is, interestingly, more complex than we might have expected

The worst-motive fallacy: A negativity bias in motive attribution

In this article, we describe a hitherto undocumented fallacy-in the sense of a mistake in reasoning-constituted by a negativity bias in the way that people attribute motives to others. We call this the "worst-motive fallacy," and we conducted two experiments to investigate it. In Experiment 1 (N = 323), participants expected protagonists in a variety of fictional vignettes to pursue courses of action that satisfy the protagonists' worst motive, and furthermore, participants significantly expected the protagonist to pursue a worse course of action than they would prefer themselves. Experiment 2 (N = 967) was a preregistered attempted replication of Experiment 1, including a bigger range of vignettes; the first effect was not replicated for the new vignettes tested but was for the original set. Also, we once again found that participants expected protagonists to be more likely than they were themselves to pursue courses of action that they considered morally bad. We discuss the worst-motive fallacy's relation to other well-known biases as well as its possible evolutionary origins and its ethical (and meta-ethical) consequences

Great apes and human children rationally monitor their decisions

Several species can detect when they are uncertain about what decision to make –revealed by opting out of the choice, or by seeking more information before deciding. But we do not know whether any nonhuman animals recognize when they need more information to make a decision because new evidence contradicts an already-formed belief. Here we explore this ability in great apes and human children. First, we show that after great apes saw new evidence contradicting a prior belief about which of two rewards was greater, they stopped to look for more information before deciding. They did not just register their own uncertainty, but attempted to resolve the contradiction between their belief and the new evidence, indicating rational monitoring of the decision-making process. Children did the same at five years of age, but not at three. In a second study, participants formed a belief about a reward’s location, but then a social partner contradicted them, by picking the opposite location. This time even three-year old children looked for more information, while apes ignored the disagreement. While apes were sensitive only to the conflict in physical evidence, the youngest children were more sensitive to peer disagreement than conflicting physical evidence.PostprintPeer reviewe

Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning

At the beginning of 2020, COVID-19 became a global problem. Despite all the efforts to emphasize the relevance of preventive measures, not everyone adhered to them. Thus, learning more about the characteristics determining attitudinal and behavioral responses to the pandemic is crucial to improving future interventions. In this study, we applied machine learning on the multinational data collected by the International Collaboration on the Social and Moral Psychology of COVID-19 (N = 51,404) to test the predictive efficacy of constructs from social, moral, cognitive, and personality psychology, as well as socio-demographic factors, in the attitudinal and behavioral responses to the pandemic. The results point to several valuable insights. Internalized moral identity provided the most consistent predictive contribution—individuals perceiving moral traits as central to their self-concept reported higher adherence to preventive measures. Similar results were found for morality as cooperation, symbolized moral identity, self-control, open-mindedness, and collective narcissism, while the inverse relationship was evident for the endorsement of conspiracy theories. However, we also found a non-neglible variability in the explained variance and predictive contributions with respect to macro-level factors such as the pandemic stage or cultural region. Overall, the results underscore the importance of morality-related and contextual factors in understanding adherence to public health recommendations during the pandemic.Peer reviewe

National identity predicts public health support during a global pandemic.

Changing collective behaviour and supporting non-pharmaceutical interventions is an important component in mitigating virus transmission during a pandemic. In a large international collaboration (Study 1, N = 49,968 across 67 countries), we investigated self-reported factors associated with public health behaviours (e.g., spatial distancing and stricter hygiene) and endorsed public policy interventions (e.g., closing bars and restaurants) during the early stage of the COVID-19 pandemic (April-May 2020). Respondents who reported identifying more strongly with their nation consistently reported greater engagement in public health behaviours and support for public health policies. Results were similar for representative and non-representative national samples. Study 2 (N = 42 countries) conceptually replicated the central finding using aggregate indices of national identity (obtained using the World Values Survey) and a measure of actual behaviour change during the pandemic (obtained from Google mobility reports). Higher levels of national identification prior to the pandemic predicted lower mobility during the early stage of the pandemic (r = -0.40). We discuss the potential implications of links between national identity, leadership, and public health for managing COVID-19 and future pandemics

National identity predicts public health support during a global pandemic (vol 13, 517, 2022) : National identity predicts public health support during a global pandemic (Nature Communications, (2022), 13, 1, (517), 10.1038/s41467-021-27668-9)

Publisher Copyright: © The Author(s) 2022.In this article the author name ‘Agustin Ibanez’ was incorrectly written as ‘Augustin Ibanez’. The original article has been corrected.Peer reviewe

Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning

At the beginning of 2020, COVID-19 became a global problem. Despite all the efforts to emphasize the relevance of preventive measures, not everyone adhered to them. Thus, learning more about the characteristics determining attitudinal and behavioral responses to the pandemic is crucial to improving future interventions. In this study, we applied machine learning on the multinational data collected by the International Collaboration on the Social and Moral Psychology of COVID-19 (N = 51,404) to test the predictive efficacy of constructs from social, moral, cognitive, and personality psychology, as well as socio-demographic factors, in the attitudinal and behavioral responses to the pandemic. The results point to several valuable insights. Internalized moral identity provided the most consistent predictive contribution—individuals perceiving moral traits as central to their self-concept reported higher adherence to preventive measures. Similar results were found for morality as cooperation, symbolized moral identity, self-control, open-mindedness, and collective narcissism, while the inverse relationship was evident for the endorsement of conspiracy theories. However, we also found a non-neglible variability in the explained variance and predictive contributions with respect to macro-level factors such as the pandemic stage or cultural region. Overall, the results underscore the importance of morality-related and contextual factors in understanding adherence to public health recommendations during the pandemic

Replication

We ran a preregistered replication of our study. We tested the same 4 vignettes used in the original study and also 8 new ones. The tendency to expect the agent to prefer the bad motive did not replicate in overall, but it did replicate in the original four vignettes. However, we also found that participants treated the 'good motives' as more extreme than the bad motives in the new vignettes, which may explain why the tendency to pick the bad motives in the original vignettes did not occur again. You can find the data and rscript for our analysis on this page. Here is the preregistration: https://osf.io/9dja