Incorporating Demographic Embeddings Into Language Understanding

Meaning depends on context. This applies in obvious cases like deictics or sarcasm as well as more subtle situations like framing or persuasion. One key aspect of this is the identity of the participants in an interaction. Our interpretation of an utterance shifts based on a variety of factors, including personal history, background knowledge, and our relationship to the source. While obviously an incomplete model of individual differences, demographic factors provide a useful starting point and allow us to capture some of this variance. However, the relevance of specific demographic factors varies between situations—where age might be the key factor in one context, ideology might dominate in another. To address this challenge, we introduce a method for combining demographics and context into situated demographic embeddings—mapping representations into a continuous geometric space appropriate for the given domain, showing the resulting representations to be functional and interpretable. We further demonstrate how to make use of related external data so as to apply this approach in low‐resource situations. Finally, we show how these representations can be incorporated into improve modeling of real‐world natural language understanding tasks, improving model performance and helping with issues of data sparsity.     

The Euthyphro Argument (9d–11b)

A sizable literature exists concerning the structure of Socrates' argument at Euthyphro 9d–11b. Although there is some dispute, a substitutional reading has emerged as a leading interpretation. However, some rear‐guard maneuvers are in order to defend this reading against its competitors. In this paper, I articulate a substitutional reading and argue that it is invalid on two counts: one, Socrates oversteps the logic of his reductio ad absurdum, and two, he illicitly substitutes coreferring expressions in explanatory contexts. Next, I defend the substitutional reading by (1) rebutting its leading contender, Sharvy's formal causation interpretation, and (2) showing how a similar substitutional argument is made in the Protagoras.     

A clean self can render harsh moral judgment

Physical cleanliness has many medical benefits, such as protection from the dangers of contagion. We explore a potential unintended consequence of cleanliness. Given the metaphorical association between physical cleanliness and moral purity (Zhong & Liljenquist, 2006), we contend that a clean self may also be linked to a virtuous self. This enhanced moral self-perception can in turn license harsher moral judgment. Three experiments found that cleanliness, whether induced via physical cleansing or through a visualization task, licensed severe judgment on morally contested issues such as abortion and pornography. Further, we found that an inflated moral self mediated the relationship between cleanliness and moral judgment. These results provide unique insight to the social significance of cleanliness and may have important implications for discrimination and prejudice.     

A Large‐Scale Analysis of Variance in Written Language

The collection of very large text sources has revolutionized the study of natural language, leading to the development of several models of language learning and distributional semantics that extract sophisticated semantic representations of words based on the statistical redundancies contained within natural language (e.g., Griffiths, Steyvers, & Tenenbaum, 2007 ; Jones & Mewhort, 2007 ; Landauer & Dumais, 1997 ; Mikolov, Sutskever, Chen, Corrado, & Dean, 2013 ). The models treat knowledge as an interaction of processing mechanisms and the structure of language experience. But language experience is often treated agnostically. We report a distributional semantic analysis that shows written language in fiction books varies appreciably between books from the different genres, books from the same genre, and even books written by the same author. Given that current theories assume that word knowledge reflects an interaction between processing mechanisms and the language environment, the analysis shows the need for the field to engage in a more deliberate consideration and curation of the corpora used in computational studies of natural language processing.     

Psychometric Properties of the Parent Cognition Scale in a Clinical Sample of Parents of Children With Disruptive Behavior

The Parent Cognition Scale (PCS; Snarr, Slep, & Grande, 2009) is a self-report measure of parental attributions of child behavior that has demonstrated validity in community samples. However, its psychometric properties have not been examined in a clinical sample of parents of children with disruptive behavior. Examining the psychometric properties of the PCS in this population is important given research linking parent attribution with childhood disruptive behavior. The present study aimed to: (a) examine the psychometric properties of the PCS in a sample of parents whose children were clinic-referred for disruptive behavior problems; and (b) investigate the concurrent validity of the PCS and its factors using correlations with parent reports of children’s emotional and behavioral difficulties, and parenting skills (i.e., discipline, supervision). A confirmatory factor analysis was run on 225 parents’ responses on the PCS, and revealed that a two-factor structure of the PCS fit the data well. Significant correlations were found between Parent Causal Attributions (Factor 1) and parent-reported parenting difficulties. Child Responsible Attributions (Factor 2) were correlated with elevations in children’s emotion, attention, and conduct difficulties. The results provide information on the utility of the PCS for parents of children with disruptive behavior and its potential clinical relevance.     

Research priorities for the COVID-19 pandemic and beyond: A call to action for psychological science

The severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) that has caused the coronavirus disease 2019 (COVID-19) pandemic represents the greatest international biopsychosocial emergency the world has faced for a century, and psychological science has an integral role to offer in helping societies recover. The aim of this paper is to set out the shorter- and longer-term priorities for research in psychological science that will (a) frame the breadth and scope of potential contributions from across the discipline; (b) enable researchers to focus their resources on gaps in knowledge; and (c) help funders and policymakers make informed decisions about future research priorities in order to best meet the needs of societies as they emerge from the acute phase of the pandemic. The research priorities were informed by an expert panel convened by the British Psychological Society that reflects the breadth of the discipline; a wider advisory panel with international input; and a survey of 539 psychological scientists conducted early in May 2020. The most pressing need is to research the negative biopsychosocial impacts of the COVID-19 pandemic to facilitate immediate and longer-term recovery, not only in relation to mental health, but also in relation to behaviour change and adherence, work, education, children and families, physical health and the brain, and social cohesion and connectedness. We call on psychological scientists to work collaboratively with other scientists and stakeholders, establish consortia, and develop innovative research methods while maintaining high-quality, open, and rigorous research standards.     

Big History,Value, and the Art of Continued Existence

Philosophia - There has lately been substantial interest in scrutinizing our evaluative attitudes in light of our evolutionary history. However, these discussions have been hampered by an...