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Across the United States (US), COVID-19 vaccination coverage was lower in rural counties compared to urban counties, exacerbating rural health inequities. While rural communities fall short of the public health goal to vaccinate all who are eligible, most rural residents have chosen to vaccinate for COVID-19. The aim of this study was to better understand rural New Mexicans' attitudes and beliefs about COVID-19 vaccines.

We conducted and analyzed 51 in-depth, semi-structured interviews with adults living in rural New Mexican counties, covering a range of topics related to the pandemic, including vaccines. These interviews were conducted in the Summer of 2021 after the vaccines were widely available to all adults over the age of 18 and youth between the ages of 12–17, but not yet available for children under 12 years.

Two major perspectives were identified: (1) the idea that COVID-19 vaccinations are a tool that individuals can use to achieve freedom and protection and (2) the view which regarded vaccines as an infringement of personal rights and one's autonomy of health. For people who viewed the vaccine as a tool for freedom, several themes emerged, including (1) a preference for vaccine manufacturers, specifically a preference for Pfizer, and (2) frustrations related to vaccine access, specifically, older adults expressed frustrations with the difficulty of scheduling vaccination appointments. However, most participants felt as though they had enough vaccination resources. For people who viewed vaccines (and vaccine mandates) as limiting their freedom, additional themes emerged: (1) overarching distrust of government and the perception that vaccines were an extension of government and (2) distrust in the vaccines themselves, including a perceived lack of research on the vaccines and a perception that the vaccine was developed in too short of a period. Some of the people who hold these beliefs are also vaccinated. We draw from social psychology theories to better understand how people who hold a rural identity come to establish different beliefs and practices compared to larger metropolitan regions. While political identity is a contributor, of our participants, the group who were most likely to report not being vaccinated were the “independent” or “unaffiliated voters.” Our findings can help craft culturally responsive vaccine initiatives for rural communities.

Literature around the careers of female academics is targeted mainly toward identifying and examining career progression inhibitors, while the drivers appear largely unexplored. This paper aims to contribute to contemporary knowledge by identifying drivers to the career progression of female academics in Australia. With COVID-19 currently impacting the careers of female academics this knowledge can assist universities and human resource (HR) professionals in developing policies and practices to better facilitate female academic career progression.

Empirically this paper draws on a qualitative study of 18 male and 29 female academics, as well as nine senior university stakeholders. The authors employed semi-structured interviews and a novel methodology, Draw, Write, Reflect.

In line with attribution theory, senior stakeholders mainly identified organisational efforts, including leadership, gender equity endeavours, recruitment and promotion approaches, as well as a construct known as “relative to opportunity considerations”, as drivers of female academics’ career progression. Female academics, however, largely attributed their career progression to personal factors, such as family support, informal mentoring, and determination and persistence.

The findings have implications for universities and HR practices seeking to facilitate female academic career progression. Implementation of the drivers identified may enhance female academics’ abilities to progress their careers.

By focussing on the drivers of, rather than the barriers to, female academic careers, the research is novel in its identification of a previously unexplored mismatch between organisational attribution and individual attribution of career progression drivers thereby advancing knowledge of gender differences in academic careers.

This research aims to demonstrate the possible link between the sociodemographic profile of visitors motivated by the visit to flamenco shows and the city of Córdoba (Spain), and the preferences and sensations regarding these experiences.

The methodology used (multilayer perceptron) is based on the development of an artificial neural network.

The results show that the variables age and educational level are determining factors in the profile of the visitor. Also, as the level of income increases, so does the interest in flamenco, a fact that can be useful to determine the target audience for this type of shows.

Flamenco is an art that originated in the Andalusian region that arouses the interest of the visitor due to its music, way of singing and dance. Flamenco is a popular art that excites and awakens the senses of those who attend this dance, song and guitar show. Its recognition as Intangible Heritage of Humanity by United Nations Educational, Scientific and Cultural Organization (UNESCO) since 2010, makes it a tourist product that motivates visitors to travel to the city of Córdoba (Spain), being also one of flamenco's places of origin. Córdoba has this art in its tourist offer so that the identity of the city has two aspects: patrimonial and immaterial, among the flamenco highlighted.

There is an urgent need for teacher preparation programs to equip teachers to teach in innovative and transformative ways, meeting the needs of diverse learners. Coaching is an instrumental tool for supporting change and development, especially in contexts with decentralized teacher preparation guidelines.

This multicase study examines cross-institutional programmatic innovations for coaching teacher candidates (TCs) and centering equity using improvement science and equity coaching. The authors explore the networked improvement community’s (NIC’s) examination of problems of practice through plan–do–study–act cycles in three coaching contexts within and across seven institutions.

Qualitative methods revealed that adapting coaching protocols can center equity and build equity-focused practices. This work highlights revisions to coaching within and across teacher preparation programs (TPPs), which the authors hope inspires extending equity-centered coaching and improvement science to new contexts. This cross-case analysis revealed program innovations for coaches, digital technologies and alignment.

This study addresses ongoing challenges faced by TPPs in the United States, including TCs' understandings of equity in teaching and decentralized teacher preparation that results in varied and incongruent understandings about quality teaching. This study builds on previous scholarship that examines shifts in coaching practices by disrupting silos in TPPs as examined innovations.

The paper offers a unique view of cross-institutional collaboration in coaching to improve transformative teaching experiences in teacher preparation field experiences.

From a technological determinist perspective, machine learning (ML) may significantly contribute towards sustainable development. The purpose of this study is to synthesize prior literature on the role of ML in promoting sustainability and to encourage future inquiries.

This study conducts a systematic review of 110 papers that demonstrate the utilization of ML in the context of sustainable development.

ML techniques may play a vital role in enabling sustainable development by leveraging data to uncover patterns and facilitate the prediction of various variables, thereby aiding in decision-making processes. Through the synthesis of findings from prior research, it is evident that ML may help in achieving many of the United Nations’ sustainable development goals.

This study represents one of the initial investigations that conducted a comprehensive examination of the literature concerning ML’s contribution to sustainability. The analysis revealed that the research domain is still in its early stages, indicating a need for further exploration.

This study proposes a novel method utilising a speech-word pair bipartite network to examine the correlation structure between members of parliament (MPs) in the context of the UK- China relationship.

We construct MP-word pair bipartite networks based on the co-occurrence relationship between MPs and words in their speech content. These networks are then mapped into monopartite MPs correlation networks. Additionally, the study calculates correlation network indicators and identifies MP communities and factions to determine the characteristics of MPs and their interrelation in the UK-China relationship. This includes insights into the distribution of key MPs, their correlation structure and the evolution and development trends of MP factions.

Analysis of the parliamentary speeches on China-related affairs in the British Parliament from 2011 to 2020 reveals that the distribution and interrelationship of MPs engaged in UK-China affairs are centralised and discrete, with a few core MPs playing an integral role in the UK-China relationship. Among them, MPs such as Lord Ahmad of Wimbledon, David Cameron, Lord Hunt of Chesterton and Lord Howell of Guildford formed factions with significant differences; however, the continuity of their evolution exhibits unstableness. The core MP factions, such as those led by Lord Ahmad of Wimbledon and David Cameron, have achieved a level of maturity and exert significant influence.

The research has several limitations that warrant acknowledgement. First, we mapped the MP-word pair bipartite network into the MP correlation network for analysis without directly analysing the structure of MPs based on the bipartite network. In future studies, we aim to explore various types of analysis based on the proposed bipartite networks to provide more comprehensive and accurate references for studying UK-China relations. In addition, we seek to incorporate semantic-level analyses, such as sentiment analysis of MPs, into the MP-word -pair bipartite networks for in-depth analysis. Second, the interpretations of MP structures in the UK-China relationship in this study are limited. Consequently, expertise in UK-China relations should be incorporated to enhance the study and provide more practical recommendations.

Firstly, the findings can contribute to an objective understanding of the characteristics and connotations of UK-China relations, thereby informing adjustments of focus accordingly. The identification of the main factions in the UK-China relationship emphasises the imperative for governments to pay greater attention to these MPs’ speeches and social relationships. Secondly, examining the evolution and development of MP factions aids in identifying a country’s diplomatic focus during different periods. This can assist governments in responding promptly to relevant issues and contribute to the formulation of effective foreign policies.

First, this study expands the research methodology of parliamentary debates analysis in previous studies. To the best of our knowledge, we are the first to study the UK-China relationship through the MP-word-pair bipartite network. This outcome inspires future researchers to apply various knowledge networks in the LIS field to elucidate deeper characteristics and connotations of UK-China relations. Second, this study provides a novel perspective for UK-China relationship analysis, which deepens the research object from keywords to MPs. This finding may offer important implications for researchers to further study the role of MPs in the UK-China relationship.

This study proposes a novel scheme for analysing the correlation structure between MPs based on bipartite networks. This approach offers insights into the development and evolving dynamics of MPs.