No abstract

This study compared working memory ability in multilingual young adults and their monolingual peers on four components of working memory (verbal and visuospatial storage, verbal and visuospatial processing). The sample comprised 39 monolingual English speakers, and 39 multilinguals, who spoke an African language as their first and third languages, and English as their second language, all with high levels of proficiency. The multilingual young adults came from lower socioeconomic status (SES) backgrounds and possessed smaller English vocabularies than the monolinguals, features which make this group an under-researched population. Both when SES and verbal ability were and were not statistically controlled, there was evidence of a multilingual advantage in all of the working memory components, which was most pronounced in visuospatial processing. These findings support evidence from bilinguals showing cognitive advantages beyond inhibitory control, and suggest that multilingualism may influence the executive control system generally.

No abstract

The humanities and social sciences (HSS) have recently witnessed an exponential growth in data-driven research. In response, attention has been afforded to datasets and accompanying data papers as outputs of the research and dissemination ecosystem. In 2015, two data journals dedicated to HSS disciplines appeared in this landscape: Journal of Open Humanities Data (JOHD) and Research Data Journal for the Humanities and Social Sciences (RDJ). In this paper, we analyse the state of the art in the landscape of data journals in HSS using JOHD and RDJ as exemplars by measuring performance and the deep impact of data-driven projects, including metrics (citation count; Altmetrics, views, downloads, tweets) of data papers in relation to associated research papers and the reuse of associated datasets. Our findings indicate: that data papers are published following the deposit of datasets in a repository and usually following research articles; that data papers have a positive impact on both the metrics of research papers associated with them and on data reuse; and that Twitter hashtags targeted at specific research campaigns can lead to increases in data papers’ views and downloads. HSS data papers improve the visibility of datasets they describe, support accompanying research articles, and add to transparency and the open research agenda.

The coronavirus disease 2019 (COVID-19) pandemic had changed the world in unexpected ways and psychometric assessment was no exception. Despite the advancements made in online psychometric assessment implementation, the authors of this commentary reflected on their own experiences in the context of the psychology profession in South Africa, where psychology professionals had been faced with the dilemma of halting, postponing or adapting assessments for remote implementation. Remote implementation had many challenges, notably shifting the logistics, financial burden and accountability onto the test-taker. In addition, when implementing remote testing, considerations of supervised and unsupervised testing need to be considered in terms of flexibility, control, test-taker comfort, standardisation, costs, ethical concerns and crisis management. Whilst in the private sector, remote psychometric assessment had been met with resilience and innovation, in academia, remote psychometric research was faced with unique challenges which affect all aspects of the research process and access to participation. Across both industry and academia where psychometric assessments were conducted, the scores and results need to be interpreted with reflection and caution as the pandemic had led to an increase in psychological distress in addition to the unique contextual challenges that South Africa already faced.

Research on English relative clauses shows that, in most studies, subject relatives are comprehended more accurately than object relatives by both monolingual and bilingual children. The current study focuses on Czech-English bilingual children and extends this line of research in two ways. First, it includes a condition in which the noun phrases involved in the action differ in number (one is singular and the other is plural), a manipulation that was never tested on bilinguals. Second, it includes a fine-grained measure of language exposure, since the exposure has been linked to the acquisition of complex structures. Thirty-eight Czech-English bilinguals (aged 8–11 years) were tested on their comprehension of relative clauses using a picture matching paradigm. Results show that sentences with number mismatch were comprehended more accurately than match sentences and that subject relatives were comprehended more accurately than object relatives. In addition, in the subject relatives subset, higher exposure to English corresponded to poorer performance in relative clauses with number mismatch. Possible explanations for these findings are discussed.

English is imposed as the language of instruction in multiple linguistically diverse societies where there is more than one official language. This might have negative educational consequences for people whose first language (L1) is not English. To investigate this, 47 South Africans with advanced English proficiency but different L1s (L1-English vs. L1-Zulu) were evaluated in their listening comprehension ability. Specifically, participants listened to narrative texts in English which prompted an initial inference followed by a sentence containing an expected inference or an unexpected but plausible concept, assessing comprehension monitoring. A final question containing congruent or incongruent information in relation to the text information followed, assessing the revision process. L1-English participants were more efficient at monitoring and revising their listening comprehension. Furthermore, individual differences in inhibitory control were associated with differences in revision. Results show that participants’ L1 appears to supersede their advanced English proficiency on highly complex listening comprehension.

The open research movement and initiatives like the FAIR principles have been critical in establishing the importance of data in research, particularly within the sciences. Alongside the sciences, attention to openly available data in Humanities and Social Sciences (HSS) research has gradually grown. This growth is largely attributed to the increased availability of digital collections, the development of new data-intensive methods, an increasingly solid infrastructure, increased pressure from funders, the requirement of data management plans for preservation purposes, and the involvement of research libraries in data curation. In this context, attention to how data is produced, how it is openly and transparently shared, and how it can be reused has generated great interest, accompanied by an inevitable need for reputable data sharing outlets. One such outlet is the data paper – a peer-reviewed publication that focuses on describing a curated dataset. Data papers can be shared in traditional research journals as one subtype of article publication, or, more recently, in data journals which are dedicated to the publication of data papers. This presentation focuses on the work done by the open access Journal of Open Humanities (JOHD) in promoting the practice of publishing data papers with their accompanying open access datasets. JOHD was established with Ubiquity Press in 2015 to promote awareness, use, and reuse of humanities data. JOHD data papers promote the comprehensive description of how a dataset was assembled, where it may be accessed, and any crucial context including the research questions that framed the data gathering, including limitations to the original methods or scope of sources included. JOHD data papers suggest potential future reuses of data, which recent analytics seem to suggest has helped increase the visibility of datasets, and therefore their research impact (Marongiu et al., forthcoming; McGillivray et al., 2022). In addition, an overview of the three key elements (the “golden triangle”) that assess the impact of open research efforts as represented by different research outputs (datasets, data papers and research papers) will be presented, along with proposed initiatives for linking these. In doing so, we aim to (a) find a programmatic way to identify these links by extracting information from available metadata of datasets and verifying their accuracy, and (b) create a “ground truth” in a manual and/or machine-assisted way which would enable the training of more sophisticated NLP-based methods as a next step. We hope to illustrate the importance of including data papers into the research conversation given that they present a unique contribution to addressing global challenges within the open research arena.