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Youth in juvenile corrections settings have significant academic, behavioral, and mental health needs. Additionally, a disproportionate percentage of them are identified with a diagnosed disability, with Emotional Disturbance (ED) as the most common diagnosis. Despite these facts, appropriate education and intensive mental health care is often lacking in these settings. Furthermore, there is evidence to suggest that some facilities use methods such as disciplinary confinement as a response to behavioral infractions; a practice that is not only counterproductive to rehabilitation, but violates federal education law and established legal standards. This study examined the use of disciplinary confinement in a juvenile justice system and investigated factors associated with frequency of this practice and time spent in disciplinary confinement. Participants were 2,353 youth with and without identified disabilities at state-run juvenile corrections facilities. Results indicated that students with disabilities spent considerably more time in disciplinary confinement than students without disabilities. Students with ED spent considerably more time than students in other disability categories and students without disabilities. Additionally, Black students, Black students with ED, and Hispanic students with ED spent considerably more time in disciplinary seclusion than other groups. The authors discuss results with respect to disproportionate use of disciplinary confinement and provide subsequent recommendations including the reexamination of disciplinary confinement practices by leaders in juvenile corrections.

The purpose of this study is to analyze how university men and women in different disciplines of study in Mexico perceive social entrepreneurship competencies, using a multifactorial analysis to find possible areas of opportunity to reduce the gender gap in social-entrepreneurship-project proposals.

This is a quantitative study with a validated questionnaire that records the perception levels of five social entrepreneurship subcompetencies. The survey, which includes 28 indicators, was applied to 140 university students from different disciplines. Hypothesis testing was applied to identify significant differences between men and women in each subcompetency by disciplinary area.

In the global sample, significant differences by gender were observed only in the social value subcompetency. In the disciplinary analysis, significant differences were found in architecture and design, business, and engineering and science.

The questionnaire only gathered data about the students' perceptions. To the extent that perception is triangulated with other instruments, it is possible to increase knowledge regarding how to train in social entrepreneurship.

The results can be useful for university training and increasing the envisioning and formulating of government projects by young people who create new businesses.

This research contributes to the literature on the role of gender-specific perceptions of social entrepreneurship in Mexico.

This study investigates differences and commonalities in data production, sharing and reuse across the widest range of disciplines yet and identifies types of improvements needed to promote data sharing and reuse.

The first authors of randomly selected publications from 2018 to 2019 in 20 Scopus disciplines were surveyed for their beliefs and experiences about data sharing and reuse.

From the 3,257 survey responses, data sharing and reuse are still increasing but not ubiquitous in any subject area and are more common among experienced researchers. Researchers with previous data reuse experience were more likely to share data than others. Types of data produced and systematic online data sharing varied substantially between subject areas. Although the use of institutional and journal-supported repositories for sharing data is increasing, personal websites are still frequently used. Combining multiple existing datasets to answer new research questions was the most common use. Proper documentation, openness and information on the usability of data continue to be important when searching for existing datasets. However, researchers in most disciplines struggled to find datasets to reuse. Researchers' feedback suggested 23 recommendations to promote data sharing and reuse, including improved data access and usability, formal data citations, new search features and cultural and policy-related disciplinary changes to increase awareness and acceptance.

This study is the first to explore data sharing and reuse practices across the full range of academic discipline types. It expands and updates previous data sharing surveys and suggests new areas of improvement in terms of policy, guidance and training programs.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-08-2021-0423.

The purpose of this paper is to investigate the conflicting varieties between cognitive linguistics and animal motivation on one hand and between emotions and motivations on another, and to show how the construction of an artificial personality led to understanding the differences from a cybernetic perspective, and to reconcile and benefit from them.

The design of the artificial personality is built on a core of dual regulator structure as a model of motivation and cognition. The regulating core does not address areas of linguistics and emotions, thus the need to interface with functions from well-researched disciplines in these areas as peripheries to the core. Different disciplines were viewed from a cybernetic perspective, where the variety of categories primarily used in these disciplines was compared numerically and the problem was defined as a search for methods to reducing the varieties between disciplines.

The interfaces between the core of artificial personality and the peripheries are seen as either regulators, which reduce variety, or generators of variety.

The approach to reconcile cross-disciplinary differences based on comparing the numerical variety of categories is understood to be original. The reduction of comparison to numerical counts removes hard-to-reconcile qualitative differences and retains the simplicity of quantitative differences. Qualitative cross-disciplinary differences benefit the specialists and protect them from competition with each other. By reconciling cross-disciplinary differences the artificial personality develops across disciplines and achieves multi-disciplinary transparency. The specialists may not welcome the competition but science, technology and society in general will benefit from reduced duplication, improved information flow and integration. This work is a small step in understanding and learning to reconcile differences between disciplines.

This chapter seeks to contribute to an ongoing discussion about Asian Canadian identities, model minority stereotypes, and structural racism against Asian Canadian youth in the Canadian education system. Using a Bourdieusian lens, this narrative study explores how to understand the experiences of Asian Canadian youth who are streamed into STEM (science, technology, engineering, and mathematics)-related occupational trajectories. Using data obtained from semi-structured interviews, I explore how streaming in high schools affects the identity formation of these youth. I argue there is an insight to be gained by paying closer attention to homologies between racial tensions and disciplinary tensions within the public school system. Doing so opens up new ways of framing and recognizing partial and diffuse acts of resistance among Asian Canadian youth who would otherwise appear to have internalized dominant stereotypes and norms.

The paper raises the question of a persisting masculine dominance in engineering disciplines and the reasons behind it. Rather than addressing gender‐specific socialisation as a cause of the under‐representation of women in engineering education, it aims to focus on the social and cultural practices of engineering itself, asking to what extent these practices are gendered and/or gendering.

The paper draws on ethnographic fieldwork carried out in two departments at a technical university in Switzerland: mechanical engineering and materials science. An exemplary piece of field data is analysed in order to generate relevant concepts for characterising and contrasting cultures in engineering disciplines. Results are discussed in the framework of Bourdieu's theory of the scientific field.

Group culture in materials science values individuality and plurality, hence leaving more scope for gender diversity; group culture in mechanical engineering values the subordination of individual needs to group norms and tends to reproduce features of homosocial male worlds. The results support the hypothesis that disciplinary cultures in engineering are gendered and have a gendering effect of their own.

Case studies in other disciplines and national contexts are needed to broaden the empirical basis of the argument.

Policies to achieve gender balance in higher education should not only aim at supporting women, but also at changing disciplinary cultures.

The paper presents a shift of focus from women's socialisation to gendering practices in engineering disciplines.

The purpose of this paper is to analyse scholarly subjectivity in the context of citation practices in interdisciplinary PhD research.

The paper provides an analysis of longitudinal series of qualitative interviews with PhD students who write scholarly articles as dissertation components. Conceptualizations of subjectivity within practice theories form the basis for the analysis.

Scholarly argumentation entails a rhetorical paradox of “bringing something new” to the communication while at the same time “establishing a common ground” with an audience. By enacting this paradox through citing in an emerging interdisciplinary setting, the informants negotiate subject positions in different modes of identification across the involved disciplines. In an emerging interdisciplinary field, the articulation of scholarly subjectivity is a joint open-ended achievement demanding knowledgeability in multiple disciplinary understandings and conducts. However, identifications that are expressible within the informants’ local site, i.e. interactions with supervisors, other seniors and peers, are not always expressible when negotiating subject positions with journals.

This paper contributes to research on citation practices in emerging interdisciplinary fields. By linking the enactment of citing in scholarly writing to the negotiation of subject positions, the paper provides new insights about the complexities involved in becoming a scholar.

Arts-integration is a promising approach to building students’ abilities to create and critique arguments with data, also known as informal inferential reasoning (IIR). However, differences in disciplinary practices and routines, as well as school organization and culture, can pose barriers to subject integration. The purpose of this study is to describe synergies and tensions between data science and the arts, and how these can create or constrain opportunities for learners to engage in IIR.

The authors co-designed and implemented four arts-integrated data literacy units with 10 teachers of arts and mathematics in middle school classrooms from four different schools in the USA. The data include student-generated artwork and their written rationales, and interviews with teachers and students. Through maximum variation sampling, the authors identified examples from the data to illustrate disciplinary synergies and tensions that appeared to support different IIR processes among students.

Aspects of artistic representation, including embodiment, narrative and visual image; and aspects of the culture of arts, including an emphasis on personal experience, the acknowledgement of subjectivity and considerations for the audience’s perspective, created synergies and tensions that both offered and hindered opportunities for IIR (i.e. going beyond data, using data as evidence and expressing uncertainty).

This study answers calls for humanistic approaches to data literacy education. It contributes an interdisciplinary perspective on data literacy that complements other context-oriented perspectives on data science. This study also offers recommendations for how designers and educators can capitalize on synergies and mitigate tensions between domains to promote successful IIR in arts-integrated data literacy education.

Citations have been used as a common basis to measure the academic accomplishments of scientific books. However, traditional citation analysis ignored content mining and without consideration of citation equivalence, which may lead to the decline of evaluation reliability. Hence, this paper aims to integrate multi-level citation information to conduct multi-dimensional analysis.

In this paper, books’ academic impacts were measured by integrating multi-level citation resources, including books’ citation frequencies and citation-related contents. Specifically, firstly, books’ citation frequencies were counted as the frequency-level metric. Secondly, content-level metrics were detected from multi-dimensional citation contents based on finer-grained mining, including topic extraction on the metadata and citation classification on the citation contexts. Finally, differential metric weighting methods were compared with integrate the multi-level metrics and computing books’ academic impacts.

The experimental results indicate that the integration of multiple citation resources is necessary, as it can significantly improve the comprehensiveness of the evaluation results. Meanwhile, compared with the type differences of books, disciplinary differences need more attention when evaluating the academic impacts of books.

Academic impact assessment of books via integrating multi-level citation information can provide more detailed evaluation information and cover shortcomings of methods based on single citation data. Moreover, the method proposed in this paper is publication independent, which can be used to measure other publications besides books.