Cross‐cultural Measurement Invariance of the Employment Opportunity Index (EOI) in Mexican and Brazilian Professionals

Perceived employment alternatives have been shown to add incremental variance in understanding voluntary turnover as well as factors related to recruiting and staffing. The Employment Opportunity Index (EOI) is a multidimensional assessment of perceived employment alternatives that has exhibited predictive validity across multiple job types and populations. This study assessed the measurement invariance of the EOI in American, Mexican, and Brazilian professionals. We found support for configural and metric invariance in all five dimensions of the EOI with these populations, and support for scalar invariance three of the five EOI dimensions. The construct validity of the EOI appears to be relatively robust in Latin American populations, although cultural and macroeconomic factors may impose some response bias in these groups.     

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.     

Vigilance for threat: effects of anxiety and defensiveness

Eysenck’s (1997) theory that attentional biases for threat vary as an interactive function of trait anxiety and defensiveness was tested using a visual probe task. Two stimulus exposure conditions were used to explore a secondary issue concerning attentional allocation over time. Results indicated that, among high trait anxious participants, only those with low levels of defensiveness showed vigilance for threatening faces presented for 500 ms. They also showed an attentional preference for neutral faces, relative to happy faces, irrespective of exposure condition. This pattern was reversed in high trait anxious participants with high levels of defensiveness, who showed an attentional bias towards happy faces (relative to neutral faces) under both exposure conditions. The findings are discussed in relation to their implications for (a) the significance of measures of defensiveness for the conceptualization of high trait anxious individuals, and (b) the status of anxiety-related biases at different stages of information processing.     

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.     

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.     

FROM ANGELS TO ALIENS: HUMANKIND'S ONGOING ENCOUNTERS WITH,AND EVOLVING INTERPRETATIONS OF, THE GENUINE CELESTIAL UNKNOWN

Throughout history, people have observed aerial events that appeared extraordinary and anomalous. In earlier eras, these were often interpreted through a lens that invoked special classes of divine beings, such as angels (who, compared with gods, are regarded as more likely to interact with humans). Today, in our ostensibly secular scientific age, there is a tendency to assume such observers were mistaken, and that with the benefit of modern knowledge, these events can be “debunked” and attributed to conventional naturalistic explanations. However, recent years have seen a burgeoning interest and even concern over the issue of unidentified aerial phenomena. Through the lens of our “space age,” these are sometimes interpreted using notions such as extraterrestrial agents. Ultimately though, this article suggests that both categories of explanation, from angels to aliens, may be the perennial human quest to render comprehensible, through the prism of prevailing beliefs and traditions, an ongoing encounter with celestial phenomena that remain genuinely unknown but deeply significant.