Sexual Dimorphism: The Interrelation of Shape and Color.

Sex-typicality displayed as sexual dimorphism of the human face is a key feature enabling sex recognition. It is also believed to be a cue for perceiving biological quality and it plays an important role in the perception of attractiveness. Sexual dimorphism of human faces has two main components: sexual shape dimorphism of various facial features and sexual color dimorphism, generally manifested as dimorphism of skin luminance, where men tend to be darker than women. However, very little is known about the mutual relationship of these two facets. We explored the interconnection between the dimorphism of face shape and dimorphism of face color in three visually distinct populations (Cameroonian, Czech, and Vietnamese). Our results indicated that populations which showed a significant dimorphism in skin luminance (Cameroon, Vietnam) had low levels of sexual shape dimorphism, while a population with higher levels of sexual shape dimorphism (Czech Republic) did not exhibit a significant dimorphism of skin luminance. These findings suggest a possible compensatory mechanism between various domains of sexual dimorphism in populations differing in the levels of shape and color dimorphism.

Pornography Use and the Acceptance of Gender Norm Violation in a School Context.

Although media effect studies have quite extensively investigated the association between pornography use and gendered attitudes, some questions remain. The present study aimed to address two of these questions by exploring how gendered attitudes and gender beliefs may be influenced by gender typicality and pornography use. First, the literature has not yet accounted for individual differences based on gender typicality. Second, the influence of pornography use on gender beliefs going beyond pornography's script application is understudied. This online cross-sectional study (N = 1,440, Mage = 23.86, SD = 4.79) contributes to the field by investigating the indirect association between pornography use and acceptance of gender norm violation through gendered attitudes and the moderating role of gender typicality. Acceptance of gender norm violation was measured via vignettes describing a school context in which a teacher and a student violated gender norms. Findings indicated that gendered attitudes negatively relate to the acceptance of gender norm violation. Moreover, compared to women, men's pornography use indirectly relates to lower acceptance rates through gendered attitudes. Additionally, for men, specific levels of gender typicality and atypicality form a strengthening and buffering role, respectively. This applies to the association between pornography use and gendered attitudes as well as to the indirect relationship of pornography use with acceptance of gender norm violation. These findings suggest that pornography use may also affect gender beliefs that are unrelated to the scripts present in pornography. Future studies should take into account the type of preferred pornography and unravel the specific impact of women's pornography use.

Social evaluative implications of sensory adaptation to human voices.

People form social evaluations of others following brief exposure to their voices, and these impressions are calibrated based on recent perceptual experience. Participants adapted to voices with fundamental frequency (f o; the acoustic correlate of perceptual pitch) manipulated to be gender-typical (i.e. masculine men and feminine women) or gender-atypical (i.e. feminine men and masculine women) before evaluating unaltered test voices within the same sex. Adaptation resulted in contrastive aftereffects. Listening to gender-atypical voices caused female voices to sound more feminine and attractive (Study 1) and male voices to sound more masculine and attractive (Study 2). Studies 3a and 3b tested whether adaptation occurred on a conceptual or perceptual level, respectively. In Study 3a, perceivers adapted to gender-typical or gender-atypical voices for both men and women (i.e. adaptors pitch manipulated in opposite directions for men and women) before evaluating unaltered test voices. Findings showed weak evidence that evaluations differed between conditions. In Study 3b, perceivers adapted to masculinized or feminized voices for both men and women (i.e. adaptors pitch manipulated in the same direction for men and women) before evaluating unaltered test voices. In the feminized condition, participants rated male targets as more masculine and attractive. Conversely, in the masculinized condition, participants rated female targets as more feminine and attractive. Voices appear to be evaluated according to gender norms that are updated based on perceptual experience as well as conceptual knowledge.

Abstract or concrete? The impact of regional typicality and advertising appeal types on consumption intention toward geographical indication products.

The essential characteristic of geographical indication products is the association of the products with their region of origin. However, consumers have different associations between products and their region of origin (i.e., different regional typicality) according to different geographical indication products. In this regard, this research aims to explore how to adopt supporting advertising appeal types to improve consumers' attitudes and intentions toward geographical indication products with different regional typicality. To this end, this article proposes and tests the interaction between regional typicality and advertising appeal types on consumption intention toward products and the underlying mechanism and boundary conditions of this effect. Using three studies, this research finds that the adoption of abstract (vs. concrete) appeal is more likely to enhance consumption intention toward products when the geographical indication products have high regional typicality. Moreover, the reverse is true when the geographical indication products have low regional typicality. Furthermore, the results show that processing fluency mediates the interaction effect. In addition, the high (low) regional typicality and abstract (concrete) appeal on consumption intention toward products are more significant in the distant (close) spatial distance condition. In this way, this research provides a new perspective for studying consumer behavior with respect to geographical indication products and has implications for promoting the sales of geographical indication products and enhancing the brand value of geographical indication.

Entropy of the Canonical Occupancy (Macro) State in the Quantum Measurement Theory.

The paper analyzes the probability distribution of the occupancy numbers and the entropy of a system at the equilibrium composed by an arbitrary number of non-interacting bosons. The probability distribution is obtained through two approaches: one involves tracing out the environment from a bosonic eigenstate of the combined environment and system of interest (the empirical approach), while the other involves tracing out the environment from the mixed state of the combined environment and system of interest (the Bayesian approach). In the thermodynamic limit, the two coincide and are equal to the multinomial distribution. Furthermore, the paper proposes to identify the physical entropy of the bosonic system with the Shannon entropy of the occupancy numbers, fixing certain contradictions that arise in the classical analysis of thermodynamic entropy. Finally, by leveraging an information-theoretic inequality between the entropy of the multinomial distribution and the entropy of the multivariate hypergeometric distribution, Bayesianism of information theory and empiricism of statistical mechanics are integrated into a common "infomechanical" framework.

Non-arbitrary mappings between size and sound of English words: Form typicality effects during lexical access and memory.

A century of research has provided evidence of limited size sound symbolism in English, that is, certain vowels are non-arbitrarily associated with words denoting small versus large referents (e.g., /i/ as in teensy and /ɑ/ as in tall). In the present study, we investigated more extensive statistical regularities between surface form properties of English words and ratings of their semantic size, that is, form typicality, and its impact on language and memory processing. Our findings provide the first evidence of significant word form typicality for semantic size. In five empirical studies using behavioural megastudy data sets of performance on written and auditory lexical decision, reading aloud, semantic decision, and recognition memory tasks, we show that form typicality for size is a stronger and more consistent predictor of lexical access during word comprehension and production than semantic size, in addition to playing a significant role in verbal memory. The empirical results demonstrate that statistical information about non-arbitrary form-size mappings is accessed automatically during language and verbal memory processing, unlike semantic size that is largely dependent on task contexts that explicitly require participants to access size knowledge. We discuss how a priori knowledge about non-arbitrary form-meaning associations in the lexicon might be incorporated in models of language processing that implement Bayesian statistical inference.

Category intersections as conceptual combinations: Combining male categories of age and sexual orientation.

We reconcile interactive and additive models of category intersection by recasting these theoretical efforts within the conceptual combination framework. In three studies (Ntot = 364), we showed that, in line with an interactive approach, combining 'elderly men' with 'gay men' generated an atypical subtype with unique attributes that could not be reduced to the sum of the attributes of the constituent categories (Studies 1-3). Moreover, consistent with the additive models, combining 'heterosexual men' with age categories (i.e. young/elderly men, Study 1) made their age typicality particularly salient, and 'young men' with sexual orientation categories (i.e. gay/heterosexual men, Study 2) emphasized their sexual orientation typicality. Also, participants not only appraised 'gay men' and 'young gay men' in part as redundant categories, but they also judged 'elderly men' and 'elderly heterosexual men' to be largely overlapping. These findings take advantage of a multi-method assessment, spanning from measures of perceived typicality to the analysis of attributes freely generated in reaction to the target categories. Our results inform cognitive models of multiple category combinations and shed light on the cognitive 'invisibility' of elderly gay men and its social implications.

Typicality of Level Change (TLC) as an Additional Effect Measure to NAP and Tau-U in Single Case Research.

Single case research is a viable way to obtain evidence for social and psychological interventions on an individual level. Across single case research studies various analysis strategies are employed, varying from visual analysis to the calculation of effect sizes. To calculate effect sizes in studies with few measurements per time period (<40 data points with a minimum of five data points in each phase), non-parametric indices such as Nonoverlap of All Pairs (NAP) and Tau-U are recommended. However, both indices have restrictions. This article discusses the restrictions of NAP and Tau-U and presents the description, calculation, and benefits of an additional effect size, called the Typicality of Level Change (TLC) index. In comparison to NAP and Tau-U, the TLC index is more aligned to visual analysis, not restricted by a ceiling effect, and does not overcompensate for problematic trends in data. The TLC index is also sensitive to the typicality of an effect. TLC is an important addition to ease the restrictions of current nonoverlap methods when comparing effect sizes between cases and studies.

Essential shape: The role of essentialist beliefs in preferences for misshapen produce.

Understanding the reasons behind consumer rejection of misshapen produce is important because of its dramatic consequences on food waste. Drawing on psychological essentialism, we conduct seven studies to investigate the role of produce shape-related essentialist beliefs (i.e., the belief that produce shape is determined by an underlying and unobservable essence) in consumers' evaluations of misshapen produce. Our findings show that essentialist beliefs about produce shape are divided into four distinct dimensions (i.e., biological basis, discreteness, informativeness, and immutability). We find that endorsing discreteness beliefs decreases preferences for misshapen produce. Immutability beliefs produce the opposite effect, whereas informativeness and biological basis have little to no effect. These effects operate through typicality judgments. These findings suggest that considering essentialist beliefs have the potential to help enhance the acceptance of edible albeit misshapen produce.

Event Knowledge in Large Language Models: The Gap Between the Impossible and the Unlikely.

Word co-occurrence patterns in language corpora contain a surprising amount of conceptual knowledge. Large language models (LLMs), trained to predict words in context, leverage these patterns to achieve impressive performance on diverse semantic tasks requiring world knowledge. An important but understudied question about LLMs' semantic abilities is whether they acquire generalized knowledge of common events. Here, we test whether five pretrained LLMs (from 2018's BERT to 2023's MPT) assign a higher likelihood to plausible descriptions of agent-patient interactions than to minimally different implausible versions of the same event. Using three curated sets of minimal sentence pairs (total n = 1215), we found that pretrained LLMs possess substantial event knowledge, outperforming other distributional language models. In particular, they almost always assign a higher likelihood to possible versus impossible events (The teacher bought the laptop vs. The laptop bought the teacher). However, LLMs show less consistent preferences for likely versus unlikely events (The nanny tutored the boy vs. The boy tutored the nanny). In follow-up analyses, we show that (i) LLM scores are driven by both plausibility and surface-level sentence features, (ii) LLM scores generalize well across syntactic variants (active vs. passive constructions) but less well across semantic variants (synonymous sentences), (iii) some LLM errors mirror human judgment ambiguity, and (iv) sentence plausibility serves as an organizing dimension in internal LLM representations. Overall, our results show that important aspects of event knowledge naturally emerge from distributional linguistic patterns, but also highlight a gap between representations of possible/impossible and likely/unlikely events.

Uncovering the semantics of concepts using GPT-4.

The ability of recent Large Language Models (LLMs) such as GPT-3.5 and GPT-4 to generate human-like texts suggests that social scientists could use these LLMs to construct measures of semantic similarity that match human judgment. In this article, we provide an empirical test of this intuition. We use GPT-4 to construct a measure of typicality-the similarity of a text document to a concept. We evaluate its performance against other model-based typicality measures in terms of the correlation with human typicality ratings. We conduct this comparative analysis in two domains: the typicality of books in literary genres (using an existing dataset of book descriptions) and the typicality of tweets authored by US Congress members in the Democratic and Republican parties (using a novel dataset). The typicality measure produced with GPT-4 meets or exceeds the performance of the previous state-of-the art typicality measure we introduced in a recent paper [G. Le Mens, B. Kovács, M. T. Hannan, G. Pros Rius, Sociol. Sci. 2023, 82-117 (2023)]. It accomplishes this without any training with the research data (it is zero-shot learning). This is a breakthrough because the previous state-of-the-art measure required fine-tuning an LLM on hundreds of thousands of text documents to achieve its performance.

The impact of ChatGPT on human data collection: A case study involving typicality norming data.

Tools like ChatGPT, which allow people to unlock the potential of large language models (LLMs), have taken the world by storm. ChatGPT's ability to produce written output of remarkable quality has inspired, or forced, academics to consider its consequences for both research and education. In particular, the question of what constitutes authorship, and how to evaluate (scientific) contributions has received a lot of attention. However, its impact on (online) human data collection has mostly flown under the radar. The current paper examines how ChatGPT can be (mis)used in the context of generating norming data. We found that ChatGPT is able to produce sensible output, resembling that of human participants, for a typicality rating task. Moreover, the test-retest reliability of ChatGPT's ratings was similar to that of human participants tested 1 day apart. We discuss the relevance of these findings in the context of (online) human data collection, focusing both on opportunities (e.g., (risk-)free pilot data) and challenges (e.g., data fabrication).

The Syntactic Pasts of Nouns Shape Their Prosodic Future: Lexico-Syntactic Effects on Position and Duration.

Phrasal prosody is often viewed as a level of linguistic representation at which the phonetic profile of an utterance varies independently of the lexical items it contains. For example, the same word, when produced at the edges of prosodic phrases, will take longer to produce than when it is produced within the edges of a phrase. Lengthening effects have also been found for words when placed in different syntactic or lexical contexts. Recent evidence suggests that lexico-syntactic information-for example, the global syntactic distributions of words-affects phonetic duration in production, irrespective of other factors. The present study asks whether these lexico-syntactic effects on duration interact with prosodic position within the phrase. Specifically, we ask whether (a) the lexico-syntactic information of a word determines its prosodic position, and (b) whether, beyond any categorical effects on positioning, lexico-syntactic factors affect duration within prosodic positions. We address these questions using the Santa Barbara Corpus of Spoken American English. We operationalize syntactic information as the diversity and the typicality of the syntactic distributions of nouns based on a dependency parse of the British National Corpus. We find that earlier positions in the prosodic phrase generally prefer words with higher syntactic diversity. In addition, diversity and typicality modulate duration more reliably in nonfinal positions. Together, our results point to an early influence of lexico-syntactic considerations on prosodic planning.

Metagenomic, microbiological, chemical and sensory profiling of Caciocavallo Podolico Lucano cheese.

In this study, Caciocavallo Podolico Lucano (CPL) cheese was deeply characterized for its bacterial community, chemical composition and sensory aspects. The entire cheese making process (from milk collection to ripened cheese) was performed by strictly applying the traditional protocol for CPL production in four dairy factories (A-D) representative of the production area. The vat made of wood represents the main transformation tool for CPL cheese production and the biofilms hosted onto the internal surfaces of all vats analyzed in this study were dominated by lactic acid bacteria. Total mesophilic microorganisms present in bulk milk (4.7-5.0 log CFU/ml) increased consistently after contact with the wooden vat surfaces (5.4-6.4 log CFU/ml). The application of Illumina sequencing technology identified barely 18 taxonomic groups among processed samples; streptococci and lactobacilli constituted the major groups of the wooden vat biofilms [94.74-99.70 % of relative abundance (RA)], while lactobacilli dominated almost entirely (94.19-100 % of total RA) the bacterial community of ripened cheeses. Except coagulase positive staphylococci, undesirable bacteria were undetectable. Among chemical parameters, significant variations were registered for unsaturated, monounsaturated, polyunsaturated fatty acids and antioxidant properties (significantly lower for CPL cheeses produced in factory B). The cheeses from factories A, C and D were characterized by a higher lactic acid and persistence smell attributes than factory B. This work indicated that the strict application of CPL cheese making protocol harmonized the main microbiological, physicochemical and sensory parameters of the final cheeses produced in the four factories investigated.

Semantic cognition in healthy ageing: Neural signatures of representation and control mechanisms in naming typical and atypical objects.

Effective use of conceptual knowledge engages semantic representation and control processes to access information in a goal-driven manner. Neuropsychological findings of patients presenting either degraded knowledge (e.g., semantic dementia) or disrupted control (e.g., semantic aphasia) converge with neuroimaging evidence from young adults, and delineate the neural segregation of representation and control mechanisms. However, there is still scarce research on the neurofunctional underpinnings of such mechanisms in healthy ageing. To address this, we conducted an fMRI study, wherein young and older adults performed a covert naming task of typical and atypical objects. Three main age-related differences were found. As shown by age group and typicality interactions, older adults exhibited overactivation during naming of atypical (e.g., avocado) relative to typical concepts in brain regions associated to semantic representation, including anterior and medial portions of left temporal lobe (respectively, ATL and MTG). This provides evidence for the reorganization of neural activity in these brain regions contingent to the enrichment of semantic repositories in older ages. The medial orbitofrontal gyrus was also overactivated, indicating that the processing of atypical concepts (relative to typical items) taxes additional control resources in the elderly. Increased activation in the inferior frontal gyrus (IFG) was observed in naming typical items (relative to atypical ones), but only for young adults. This suggests that naming typical items (e.g., strawberry) taxes more on control processes in younger ages, presumably due to the semantic competition set by other items that share multiple features with the target (e.g., raspberry, blackberry, cherry). Together, these results reveal the dynamic nature of semantic control interplaying with conceptual representations as people grow older, by indicating that distinct neural bases uphold semantic performance from young to older ages. These findings may be explained by neural compensation mechanisms coming into play to support neurocognitive changes in healthy ageing.

Typicality in the brain during semantic and episodic memory decisions.

Concept typicality is a key semantic dimension supporting the categorical organization of items based on their features, such that typical items share more features with other members of their category than atypical items, which are more distinctive. Typicality effects manifest in better accuracy and faster response times during categorization tasks, but higher performance for atypical items in episodic memory tasks, due to their distinctiveness. At a neural level, typicality has been linked to the anterior temporal lobe (ATL) and the inferior frontal gyrus (IFG) in semantic decision tasks, but patterns of brain activity during episodic memory tasks remain to be understood. We investigated the neural correlates of typicality in semantic and episodic memory to determine the brain regions associated with semantic typicality and uncover effects arising when items are reinstated during retrieval. In an fMRI study, 26 healthy young subjects first performed a category verification task on words representing typical and atypical concepts (encoding), and then completed a recognition memory task (retrieval). In line with previous literature, we observed higher accuracy and faster response times for typical items in the category verification task, while atypical items were better recognized in the episodic memory task. During category verification, univariate analyses revealed a greater involvement of the angular gyrus for typical items and the inferior frontal gyrus for atypical items. During the correct recognition of old items, regions belonging to the core recollection network were activated. We then compared the similarity of the representations from encoding to retrieval (ERS) using Representation Similarity Analyses. Results showed that typical items were reinstated more than atypical ones in several regions including the left precuneus and left anterior temporal lobe (ATL). This suggests that the correct retrieval of typical items requires finer-grained processing, evidenced by greater item-specific reinstatement, which is needed to resolve their confusability with other members of the category due to their higher feature similarity. Our findings confirm the centrality of the ATL in the processing of typicality while extending it to memory retrieval.

Facial typicality and attractiveness reflect an ideal dimension of face structure.

Face perception and recognition are important processes for social interaction and communication among humans, so understanding how faces are mentally represented and processed has major implications. At the same time, faces are just some of the many stimuli that we encounter in our everyday lives. Therefore, more general theories of how we represent objects might also apply to faces. Contemporary research on the mental representation of faces has centered on two competing theoretical frameworks that arose from more general categorization research: prototype-based face representation and exemplar-based face representation. Empirically distinguishing between these frameworks is difficult and neither one has been ruled out. In this paper, we advance this area of research in three ways. First, we introduce two additional frameworks for mental representation of categories, varying abstraction and ideal representation, which have not been applied to face perception and recognition before. Second, we fit formal computational models of all four of these theories to human perceptual judgments of the typicality and attractiveness (a strong correlate of typicality) of 100 young adult Caucasian female faces, with the models expressed within a face space derived from facial similarity judgments via multidimensional scaling. Third, we predict the perceived typicality and attractiveness of the faces using these models and compare the predictive performance of each to the empirical data. We found that of all four models, the ideal representation model provided the best account of perceived typicality and attractiveness for the present set of faces, although all models showed discrepancies from the empirical data. These findings demonstrate the relevance of mental categorization processes for representing faces.

Who Has a Better Auditory Gaydar? Sexual Orientation Categorization by Heterosexual and Lesbian, Gay, and Bisexual People.

Lesbian, gay and bisexual (LGB) people are supposed to be better at gaydar than heterosexual. Across two studies we examined auditory gaydar performed by LGB and heterosexual listeners. In Study 1 participants (n = 127) listened to male and female speakers (n = 10) and judged their sexual orientation on a binary choice (gay/lesbian vs. heterosexual). In Study 2, participants (n = 192) judged speakers' (n = 31) sexual orientation on a Kinsey-like scale (1 = exclusively heterosexual, 7 = exclusively gay/lesbian). Results showed gaydar judgments differences in relative terms that did not indicate an overall gaydar accuracy. Moreover, LGB participants were not better at gaydar than heterosexual participants but rather showed a shift in criterion when making auditory gaydar judgments, namely they report a weaker straight categorization bias. Overall, these findings contribute to the understanding of sexual orientation categorization among heterosexual majority and LGB minority groups.

A new facet of category theory: cognitive disadvantage and its implications for safety in the cockpit.

The typicality effect suggests typical category members provide a cognitive advantage, such as being quicker and easier to recognise and describe. The reverse effect has not been explored in an applied environment. Non-typical flight safety events appear to pose problems for pilots, leading to delayed recognition and ineffective use of checklists. Fifty-six airline pilots completed an experiment that tested a real-world typicality gradient, comparing pilot performance on a group of four non-typical events against four randomly selected events. Non-typical flight safety events elicited a greater number of response errors and a greater response latency when compared with a random selection of safety events. We specify and measure cognitive disadvantage and suggest innovations in pilot education, such as locating troublesome events and improving recognition guidance. Our new findings can be used to better prepare pilots for event diversity and inform safety in other work systems of interest to ergonomics. Practitioner summary: Typical safety events in work environments provide a cognitive dividend, supporting effective recognition and response. In this study, we frame and measure the opposite effect, the cognitive disadvantages of non-typical events. Non-typical events pose significant risk in work systems such as air transport, and we suggest innovations in pilot knowledge and training that make use of this approach.

Atypical Semantic Fluency and Recall in Children and Adolescents with Autism Spectrum Disorders Associated with Autism Symptoms and Adaptive Functioning.

It is unclear whether children with autism spectrum disorders have atypical semantic fluency and lower memory for the semantics of words. Therefore, we examined semantic typicality, fluency and recall for the categories of fruits and animals in 60 children with autism aged 7-15 years (boys: 48/girls: 12) compared to 60 typically developing controls. Relative to controls, the autism group had reduced animal fluency, fruit typicality and recall for fruits. Notably, these measures were associated with more autistic-like symptoms and/or lower adaptive functioning across the autism and control groups. In conclusion, atypical semantics of fruits in the autism group may reflect development of idiosyncratic semantic networks while their lower semantic fluency and recall suggest impaired executive language functions.