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Paramedics became nationally registered in 2018 in Australia. Prior to this, there was no central regulation of the profession with reliance on organisational regulation through employers. As paramedics expanded their scope, role and range of employers, especially outside statutory agencies, there was increasing need to engage in professional regulation. Regulation is more than a legal and bureaucratic framework. The purpose of the paper states that the way paramedics interact with their new regulatory environment impacts and is influenced by the professionalisation of the discipline. Regulation also redefines their positionality within the profession.

Two mixed-method surveys were undertaken. A pre-registration survey occurred in the month prior to regulation commencing (N = 419) followed by the second survey 31 months later (N = 407). This paper reports the analysis of qualitative data from the post-registration survey and provides comparison to the pre-registration survey which has been previously reported. Analysis was undertaken using interpretive phenomenological analysis (IPA).

Themes from the pre-registration survey continued however became more nuanced. Participants broadly supported registration and saw it as empowering to the profession. Some supported registration but were disappointed by its outcome, others rejected registration and saw it as divisive and oppressive.

Paramedics are beginning to come to terms with increasing professionalisation, of which regulation is one component. Changes can be seen in professional identity and engagement with professional practice; however, this is nascent and is deserving of additional research to track the profession as it continues to evolve.

The number of students from culturally and linguistically diverse (CLD) backgrounds continue to increase in classrooms across the United States. These students have complex needs as they experience more barriers to success when compared to their peers. These barriers are further compounded when CLD students are also identified as having disabilities. To address the barriers and meet the needs of CLD students with disabilities, teaching professionals should move away from the traditional American educational values of individual freedom and self-reliance, equal opportunity and competition, and material wealth and hard work. Conversely, schools and teaching professionals should incorporate the modern values of social justice, diversity, equity, inclusion, accessibility, and belonging when working with students from CLD backgrounds who have disabilities. This chapter presents these values and provides recommendations for teaching professionals and schools.

People who identify as transgender face stigma, isolation and harassment while often struggling to come to terms with their gender identity. They also disproportionately experience mental health difficulties. The purpose of this paper is to present the voices of transgender people in the Republic of Ireland (RoI) in regard to the issues they are facing, improvements they would like to see made to schools, workplaces, services and society in general and whether mental health supports fulfil their needs.

Ten open questions were embedded within a quantitative online survey (LGBTIreland study) on factors impacting social inclusion, mental health and care. These open questions were re-analysed with exclusive focus on the transgender participants (n = 279) using content/thematic analysis.

The participants in this study reported significant signs of mental distress. The following themes emerged: impact of stigma, deficiencies in mental health services, need for education on transgender identity, importance of peer support, achieving self-acceptance and societal inclusion questioned.

Efforts to recruit young participants have led to a possible over-representation in this study.

The findings suggest the need for improvement in mental health support services, including further education in how to meet the needs of transgender individuals.

Transgender people in Ireland experience social exclusion. The need for more inclusivity was emphasised most in secondary schools. Education on transgender identities in all contexts of society is recommended by the participants.

This study reports on the largest group of transgender participants to date in RoI. Their voices will affect perceptions on social inclusion and mental health care.

Data storytelling courses position students as agents in creating stories interpreted from data about a social problem or social justice issue. The purpose of this study is to explore two research questions: What themes characterized students’ iterative development of data story topics? Looking back at six years of iterative feedback, what categories of data literacy pedagogy did instructors engage for these themes?.

This project examines six years of data storytelling final projects using thematic analysis and three years of instructor feedback. Ten themes in final projects align with patterns in feedback. Reflections on pedagogical approaches to students’ topic development suggest extending data literacy pedagogy categories – formal, personal and folk (Pangrazio and Sefton-Green, 2020).

Data storytelling can develop students’ abilities to move from being consumers to creators of data and interpretations. The specific topic of personal data exposure or risk has presented some challenges for data literacy instruction (Bowler et al., 2017). What “personal” means in terms of data should be defined more broadly. Extending the data literacy pedagogy categories of formal, personal and folk (Pangrazio and Sefton-Green, 2020) could more effectively center social justice in data literacy instruction.

Implications for practice include positioning students as producers of data interpretation, such as role-playing data analysis or decision-making scenarios.

Data storytelling has the potential to address current challenges in data literacy pedagogy and in teaching critical data literacy.

Course descriptions provide a template for future data literacy pedagogy involving data storytelling, and findings suggest implications for expanding definitions and applications of personal and folk data literacies.

The COVID-19 pandemic has significantly impacted global tourism, with international travel bearing the burden of restrictions. Domestic tourism has also faced substantial challenges. This paper aims to analyse the impact of the COVID-19 pandemic on domestic tourism in Spain, focusing on travel from Madrid (the country’s capital) to other tourist destinations.

Mobile phone data has been used to study the evolution of tourist trips over the summers of 2019, 2020 and 2021. Regression models are used to explain the number of visitors at destinations.

The pandemic not only caused a drastic drop in tourist flows but also disrupted the overall pattern of the domestic flow system. Winning destinations were typically areas in proximity to Madrid and less densely populated destinations, while urban destinations were major losers. The preferences of domestic tourists varied notably by income group, but the decrease in trip volumes showed only marginal differences.

The paper demonstrates the potential of mobile phone data analysis to study the uneven impact of external shocks, such as the COVID-19 pandemic, on tourist destinations. This approach considers spatial resilience heterogeneity within regions or provinces. By incorporating income information, the analysis introduces a social dimension to highly detailed spatial data, surpassing traditional studies conducted at the regional or national levels.

COVID-19大流行对全球旅游业产生了重大影响，国际旅行受到了限制的影响最为严重。国内旅游也面临着重大挑战。本文分析了COVID-19大流行对西班牙国内旅游的影响，重点关注从马德里（该国首都）到其他旅游目的地的旅行。

本研究使用移动电话数据研究了2019年、2020年和2021年夏季旅游出行的演变。采用回归模型解释了各目的地游客数量。

大流行不仅导致了旅游流量急剧下降，还扰乱了国内流动系统的总体模式。获胜的目的地通常是马德里附近的地区和人口较稀少的目的地，而城市目的地是主要的输家。国内游客的偏好在收入群体之间有明显差异，但旅行量的减少只显示出边际差异。

本文展示了使用移动电话数据分析研究外部冲击（如COVID-19大流行）对旅游目的地的不均匀影响的潜力。该方法考虑了区域或省份内的空间弹性异质性。通过整合收入信息，该分析为高度详细的空间数据引入了社会维度，超越了传统在区域或国家水平进行的研究。

This study aims to understand the utility of personas and illustrate, through a case study, how a persona-building exercise in a Community Based Prevention Marketing (CBPM) training of community leaders elicited important insights that complemented findings from ongoing formative research on vaccine hesitancy in the Hispanic/Latino population in the USA during COVID-19 pandemic.

An exploratory concurrent parallel qualitative study design compared three personas created by community-based organization members (n = 37) to transcripts from five formative research focus groups (n = 30) from the same project. All participants in this study were recruited by the National COVID-19 Resiliency Network as part of their capacity-building and formative research activities. Grounded theory guided the content analysis.

This study found personas and focus groups to be complementary. A high degree of co-occurrence was observed when investigating the uptake of the COVID-19 vaccine under the categories of barriers, culture and communication. Between the two methods, the authors found strong associations between fear, disruption to the value system, work-related barriers, inaccessibility to health care and information sources and misinformation. Areas of divergence were negligible.

While personas provided background information about the population and sharing “how” to reach the priority population, focus groups provided the “why” behind the behavior, followed by “how”.

A community-driven persona-building process built on cultural community knowledge and existing data can build community capacity, provide rich information to assist in the creation of tailored messages, strategies and overall interventions during a public health crisis and provide user-centered, evidence-based information about a priority population while researchers and practitioners wait on the results from formative research.

This case study provided a unique opportunity to analyze the complementary effectiveness of two methods acting in tandem to understand the priority population: stakeholder-informed persona-building and participant-informed focus group interviews. Understanding their complementary nature addresses a time gap that often exists between researchers and practitioners during times of crises and builds on recommendations associated with bringing rigor into practice, promoting academic contribution to real-world issues and building collaborative partnerships. Finally, it supports the utility of a nimble tool that improves social marketers’ ability to know more about their audience for intervention design when time is of the essence and formative research is ongoing.

A quantitative observational study was conducted. The purpose of this study is to examine the continuing adherence to the stopping over-medication of people with intellectual disability and/or autism guidelines for a cohort of outpatients seen in the outpatients’ clinics in the two teams who participated in this study to review the trend of psychotropic prescribing with a prescription indication along with the utilisation of non-pharmacological interventions.

Data was retrospectively collected over a period of one year for patients sampled conveniently in the outpatient’s clinic. The data was collected from two sites from psychiatric letters to the general practitioners (GPs), with the focus being psychotropic prescription indication and their adherence to British National Formulary limits, inclusion of a wider multi-disciplinary team or MDT (including nurses, psychologists and health support workers), use of Clinical Global Impression (CGI) scale for assessing medication side effects and response to treatment.

Most of the patients had at least one review in the previous six months. Antipsychotics were the highest prescribed medications without an indication for their use (13.3%) followed by anxiolytics and other medications. CGI recording was suboptimal, with 26% of the patient population did not have medication side effects and effectiveness monitored through this method. In total, 41% of patients were open to community nurses followed by other disciplines.

To the best of the authors’ knowledge, this is an original article following the pilot study completed by the authors.

This paper aims to center the experiences of three cohorts (n = 40) of Black high school students who participated in a critical race technology course that exposed anti-blackness as the organizing logic and default setting of digital and artificially intelligent technology. This paper centers the voices, experiences and technological innovations of the students, and in doing so, introduces a new type of digital literacy: critical race algorithmic literacy.

Data for this study include student interviews (called “talk backs”), journal reflections and final technology presentations.

Broadly, the data suggests that critical race algorithmic literacies prepare Black students to critically read the algorithmic word (e.g. data, code, machine learning models, etc.) so that they can not only resist and survive, but also rebuild and reimagine the algorithmic world.

While critical race media literacy draws upon critical race theory in education – a theorization of race, and a critique of white supremacy and multiculturalism in schools – critical race algorithmic literacy is rooted in critical race technology theory, which is a theorization of blackness as a technology and a critique of algorithmic anti-blackness as the organizing logic of schools and AI systems.

The purpose of this research is to examine the narratives of victims of abusive supervision. We explore the meaning or “lessons” victims derive from those experiences and how they shape the victims’ views of self, work and organization in relation to navigating their subsequent jobs.

We analyzed how appraisals of supervisory abuse transform victims’ narratives and their consequent work attitudes through sensemaking processes. Semi-structured interviews with the past victims of abusive supervision generated a four-stage model of how sensemaking shapes victims’ future work attitudes. Our interpretations were guided through narrative thematic analysis based on the constructionist approach.

Victims’ lessons learned are predominantly framed by their retrospective post-event appraisal of abuse (based on its severity) once individuals are no longer subject to abusive supervision. With greater distance from the abuse, victims can process the abuse and better understand the motivation of the abuser, enabling the process of causal attributions. These attributions further shape victims’ narratives and future work attitudes through a complex interplay of retrospective and prospective sensemaking mechanisms. The victims broadly reported proactive (with higher self-awareness and endurance) and reactive (self-protection, and emotional scars) lessons. A four-stage model was proposed based on our findings.

Abusive supervision remains a persistent issue experienced by many individuals at some point in their working life. However, little is known about how victims make sense of the event post-abuse and how this sense-making guides their future work behaviors. Understanding this phenomenon provides insight into how employees navigate through adversity and construct a more positive future. The contribution of this narrative inquiry is threefold. First, it explores how individual appraisals of supervisory abuse frame their (1) mechanisms of narrative construction; and (2) future work attitudes. Second, our findings demonstrate how narrative construction is a fluid process often informed by the process of retrospective and prospective sensemaking. Finally, our research suggests two broader categories of lessons that victims internalize and carry forward to their subsequent jobs.

Artificial intelligence (AI) has become increasingly important and influential in reading and writing. The influx of social media digital spaces, like TikTok, has also shifted the ways multimodal composition takes place alongside AI. This study aims to argue that within spaces like TikTok, human composers must attend to the ways they write for, with and against the AI-powered algorithm.

Data collection was drawn from a larger study on #BookTok (the TikTok subcommunity for readers) that included semi-structured interviews including watching and reflecting on a TikTok they created. The authors grounded this study in critical posthumanist literacies to analyze and open code five #BookTok content creators’ interview transcripts. Using axial coding, authors collaboratively determined three overarching and entangled themes: writing for, with and against.

Findings highlight the nuanced ways #BookTokers consider the AI algorithm in their compositional choices, namely, in the ways how they want to disseminate their videos to a larger audience or more niche-focused community. Throughout the interviews, participants revealed how the AI algorithm was situated differently as both audience member, co-author and censor.

This study is grounded in critical posthumanist literacies and explores composition as a joint accomplishment between humans and machines. The authors argued that it is necessary to expand our human-centered notions of what it means to write for an audience, to co-author and to resist censorship or gatekeeping.