Frequently Represented Sense Components in Memes and Demotivators Dedicated to Lockdown

The article is devoted to the study of sense components that are often represented in the content of static polycode texts, in particular, demotivators and memes devoted to the phenomenon of mass lockdown. The aim of the study is to establish the elements of knowledge, which are basic concepts and are used in the construction of messages, understanding the specifics of this mode, broadcasting opinions. The means of their expression in the verbal and non-verbal parts of polycode texts are analyzed. A different degree of their representativeness is established, depending on the frequency of the used linguistic means and non-verbal elements. The statistical data were processed using the AntConc 3.5.8 text corpus analyzer program, using the stop-list of words. Attention is paid to the differences in the actualization of the identified mental constructs in the verbal and non-verbal parts of memes and demotivators. They were systematized in accordance with this criterion. The frequency of the use of verbal and non-verbal means to convey the same semantic component is assessed in a comparative manner. The diversity of linguistic means used by the authors of memes and demotivators of the studied group is characterized

Consistency of Term <i>star</i>: a Statistical Analysis of the Productive Types of System Relations with Related Terminological Units

The article is devoted to the study of the term as a system unit in its interconnections with contiguous linguistic facts on the example of semantic relations existing in the term star in the field of scientific knowledge “astrophysics”. The study is based on an analysis of the systemic correlation of units in the field of astrophysics. The authors focus on terms representing various categories of concepts in accordance with the nature of the referents they represent. The most and least productive semantic relations are established and analyzed with related first-order terms presented in the definition and second-order terms, the relations with which are represented in the texts of scientific publications outside of the definitions. The categorical pertaining of related terms with which the term star has a systemic relationship is also determined in the study. Using a statistical analysis of a selection of terms in the field of “astrophysics”, we found that the most productive semantic relationships for them are relationships such as generic, attribution, and “part-whole”

Static Polycode Text Modeling Using Network Analysis (Demotivator Dedicated to Problems of Self-Isolation)

The features of modeling a graphic-verbal polycode text, including a static image and an accompanying inscription, are considered. The study was conducted on the example of a demotivator dedicated to the problems of mass self-isolation at the very beginning of the pandemic and the introduction of restrictive measures. Significant semantic components, represented as part of only the iconic component, only the verbal component, and also as part of the verbal and iconic components at the same time are established. The semantic relations between the selected semantic components are revealed, the types of these links, revealing the different nature of their correlation are determined. On the basis of the data obtained, a network model of the considered static polycode text in the form of a semantic network was built. Cases of semantic components correlation are considered, reflecting the generally objective aspects of the situation and unrealistic ideas based on irony and hyperbole to create a comic effect. Based on quantitative analysis, representative semantic relations were established: “partitive”, “localization (in)”, “attributive”, “subject-object”. Non-representative semantic relations between the semantic components in the analyzed polycode text are revealed: “coincidence”, “localization (on)”, “temporal”, “subject-instrument”, “subject-result”

Power poses – where do we stand?

<p>Dynamic results for Scenario 2.</p

The politics of heroes through the prism of popular heroism

This is the author accepted manuscript. The final version is available from Palgrave Macmillan via the DOI in this record.In modern day Britain, the discourse of national heroification is routinely utilised by politicians, educationalists and cultural industry professionals, whilst also being a popular concept to describe deserving ‘do-gooders’ who contribute to British society in a myriad of ways. We argue that although this heroification discourse is enacted as a discursive device of encouraging politically and morally desirable behaviour, it is dissociated from the largely under-explored facets of contemporary popular heroism. To compensate for this gap, this paper explores public preferences for heroes using survey data representative of British adults. This analysis demonstrates a conceptual stretching in the understanding of heroism, and allows identifying age- and gender-linked dynamics which effect public choices of heroes. In particular, we demonstrate that age above all determines the preference for having a hero, but does not explain preferences for specific hero-types. The focus on gender illustrates that the landscape of popular heroism reproduces a male-dominated bias which exists in the wider political and cultural heroification discourse. Simultaneously, our study shows that if national heroification discourse in Britain remains male-centric, the landscape of popular heroism is characterised by a gendered trend towards privatisation of heroes being particularly prominent amongst women. In the conclusion, this paper argues for a conceptual revision and re-gendering of the national heroification discourse as a step towards both empirically grounded, and age- and gender-sensitive politics of heroes and heroines.AHR

Measuring collective action intention toward gender equality across cultures

Collective action is a powerful tool for social change and is fundamental to women and girls’ empowerment on a societal level. Collective action towards gender equality could be understood as intentional and conscious civic behaviors focused on social transformation, questioning power relations, and promoting gender equality through collective efforts. Various instruments to measure collective action intentions have been developed, but to our knowledge none of the published measures were subject to invariance testing. We introduce the gender equality collective action intention (GECAI) scale and examine its psychometric isomorphism and measurement invariance, using data from 60 countries (N = 31,686). Our findings indicate that partial scalar measurement invariance of the GECAI scale permits conditional comparisons of latent mean GECAI scores across countries. Moreover, this metric psychometric isomorphism of the GECAI means we can interpret scores at the country-level (i.e., as a group attribute) conceptually similar to individual attributes. Therefore, our findings add to the growing body of literature on gender based collective action by introducing a methodologically sound tool to measure collective action intentions towards gender equality across cultures

Gendered self-views across 62 countries: a test of competing models

Social role theory posits that binary gender gaps in agency and communion should be larger in less egalitarian countries, reflecting these countries’ more pronounced sex-based power divisions. Conversely, evolutionary and self-construal theorists suggest that gender gaps in agency and communion should be larger in more egalitarian countries, reflecting the greater autonomy support and flexible self-construction processes present in these countries. Using data from 62 countries (N = 28,640), we examine binary gender gaps in agentic and communal self-views as a function of country-level objective gender equality (the Global Gender Gap Index) and subjective distributions of social power (the Power Distance Index). Findings show that in more egalitarian countries, gender gaps in agency are smaller and gender gaps in communality are larger. These patterns are driven primarily by cross-country differences in men’s self-views and by the Power Distance Index (PDI) more robustly than the Global Gender Gap Index (GGGI). We consider possible causes and implications of these findings