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A deeper music: arts-based research as critical social psychology
Get PDFTwenty-first century societies—and the people who live within them—face multiple and
complex challenges. Intersecting identities, environment catastrophe, economic-political
instability, and diverse health threats call us to envisage and action innovative psychological
research that makes a difference. Arts-based research comprises a diverse range of
methodological approaches that work in radically different ways in the service of critical
psychological, social, and cultural understanding and transformation. It responds to Denzin’s
(2003) challenge to re-animate the social world by privileging accessibility, engagement,
sensory awareness, and embodied knowing. Arts-based research opens up alternative ways of
thinking, feeling, relating, and experiencing through aesthetic means of inquiry and
communication.
In this chapter, we explore arts-based research as a way of doing critical social
psychology. We provide a brief history of the development of arts-based research in
psychology and offer a rationale for using arts-based approaches in psychology to tackle
twenty-first century challenges. We then focus on one specific example of an arts-based
project to consider in detail issues such as processes, problems, and outcomes. The example
we have selected features a range of artistic genres that include film, music, and song. We
engage with public responses to the work to explore its personal, psychological, social, and
cultural meaning, showing how arts-based research can generate valued psychological insights and impacts. We close by proposing that arts-based research offers a means to
radically democratize critical psychology research and scholarship
Arts-based research and social justice in sport and leisure
No full textThe importance of social justice research is well recognised in current times, in particular the need for innovative studies that intervene into the complex challenges faced within twenty-first century societies. Research that makes a difference. Research that works with, on and around the political, economic and sociocultural obstacles that can conspire to inhibit change where it is most badly needed. As the chapters in this Handbook demonstrate, the importance of social justice scholarship across the field of sport, leisure and physical activity is recognised. Here, too, researchers, scholars and activists work in ways that strive to make a positive difference.
In this chapter, we consider the utility of arts-based approaches to social justice research and reflect on examples of two film-based projects in sport, leisure and physical activity. We engage with public responses to these examples, demonstrating the personal, social and cultural meaning and impact of the work and showing how arts-based research can generate community, solidarity, and personal or social change. We propose that arts-based research offers a means to radically democratize social justice research and scholarship
Application of machine learning for predicting G9a inhibitors
Get PDFObject and significance: the G9a enzyme is an epigenomic regulator, making gene expression directly dependent on how various substances in the cell affect this enzyme. Therefore, it is crucial to consider this impact in any biochemical research involving the development of new compounds introduced into the body. While this can be examined experimentally, it would be highly advantageous to predict these effects using computer simulations. Purpose: the purpose of the model was to assist in answering the question of the potential effect that a compound under development could have on the G9a activity, and thus reduce the need for laboratory experiments and facilitate faster and more productive research and development. Solution: the paper proposes a cost-effective machine learning model that determines whether a compound is an active G9a inhibitor. The proposed approach utilises the already existing very extensive PubChem database. The starting point was the quantitative high-throughput screening assay for inhibitors of histone lysine methyltransferase G9a (also available on PubChem) which screened around 350000 compounds. For these compounds, datasets of 60 features were created. Then different ML algorithms were deployed to find the best performing one, which can then be used to predict if some untested compound would actively inhibit G9a. Results: six different ML classifiers have been implemented on five dataset variations. Different variants of the dataset were created by using two different data balancing approaches and including or not the influence of water solubility at a pH of 7.4. The most successful combination was a dataset with five features and a random forest classifier that reached 90% accuracy. The classifier was trained with 60244 and tested with 15062 compounds. Feature reduction was obtained by analysing three different feature importance algorithms, which resulted in not only feature reduction but also some insights for further biochemical research
Clinical Research Practitioner: Transformation to a Competent Professional Through Reflective Practice
Get PDFThe National Institute for Health and Care Research (NIHR) has significantly contributed to the growth of clinical researchactivities in the United Kingdom. Central to this expansion is the pivotal role of Clinical Research Practitioners (CRPs) withinthe healthcare organization. This narrative explores reflective practice as a dynamic tool and essential requirements for theirtransformation and development into competent CRPs. Additionally, this article adds to the growing literature to highlight thebenefits of having a professionally registered CRP for NHS organizations. By weaving together personal insights, professionaldevelopment, and the integration of acquired knowledge, the narrative illuminates the profound impact of reflective practiceon the evolution of a skilled and adept CRP. This review adds to the current literature on the importance of reflective practicein improving professionalism and competency for registered CRPs. The narrative emphasizes lifelong learning and reflectivepractice integration in clinical research training programs. It suggests further research on workplace reflection for knowledgeintegration. This resource is valuable for CRPs, organizations, and policymakers, emphasizing professionalism, competencydevelopment, and reflective practice in clinical researc
Establishing equitable partnerships between the Global North and Global South. [Correspondence]
No full textIn response to The Lancet and colonialism: past, present, and future, colonial legacies affect not only what is published in medical journals. How research takes place to produce such publications has been described as parasitic and parachute. Fostering truly equitable partnerships requires addressing systemic disparities in research funding and capacity.
The current inequity is being perpetuated by a series of challenges. A recent British Academy call required 17 pieces of documentation from partners from low-income and middle-income countries (LMICs) to be submitted with the grant application. This disadvantages institutions that lack extensive administrative resources and implies a lack of trust in Global South (countries below the Brandt line) partners’ ability to conduct operations appropriately without Global North (countries above the Brandt line) oversight, perpetuating a paternalistic approach.3
Institutions in LMICs not already supported by (post)colonial partners are often woefully underfunded. Bids with them are less likely to succeed than those with partners who are already well equipped. A recent Wellcome Trust-funded pilot project to address power imbalances4,5 was, ironically, awarded to one of the institutions identified as, “asserting European superiority [and] preclude[ing] crediting colonised peoples’ knowledge”1 in Khan and colleagues’ Viewpoint. Health challenges in LMICs are thus addressed by a select few institutions. Researchers from LMICs are hardly ever the principal investigator. Even when they are, they are more likely to follow research geared towards interests of high-income countries (HICs).6
An urgent dialogue is needed to develop sustainable funding that will increase research capacity in LMICs. Meeting this aim requires support for infrastructure development and staff training (including technicians); a flow of funding for consumables and fieldwork; and training and support in meeting the administrative requirements of funders from HICs. Each site's journey towards independence and self-sustainability could necessitate tailored business training. When undertaken properly, this will greatly increase the number of facilities in LMICs capable of operating in equal partnership, the quality of research produced, the incentives for young researchers to build their careers in-country, and, as a result, their ability to undertake research of international quality and to publish as first authors in international journals
Evaluating a model of best practice in primary care led post-diagnostic dementia care: feasibility and acceptability findings from the PriDem study
Get PDFObjectives: To evaluate the feasibility and acceptability
of a primary care-based intervention for improving post-diagnostic dementia care and support (PriDem), and
implementation study procedures.
Design: A non-randomised, mixed methods, feasibility
study.
Setting: Seven general practices from four primary
care networks (PCNs) in the Northeast and Southeast of
England.
Participants: We aimed to recruit 80 people with
dementia (PWD) and 66 carers.
Intervention: Clinical Dementia Leads delivered a
12-month intervention in participating PCNs, to develop
care systems, build staff capacity and capability, and
deliver tailored care and support to PWD and carers.
Outcomes: Recruitment and retention rates were
measured. A mixed methods process evaluation evaluated
feasibility and acceptability of the intervention and study
procedures. Using electronic care records, researchers
extracted service use data and undertook a dementia care
plan audit, preintervention and postintervention, assessing
feasibility of measuring the primary implementation
outcome: adoption of personalised care planning by
participating general practices. Participants completed
quality of life, and service use measures at baseline, 4 and
9 months.
Results: 60 PWD (75% of recruitment target) and 51
carers (77% of recruitment target) were recruited from
seven general practices across four PCNs. Retention rate
at 9 months was 70.0% of PWD and 76.5% of carers.
The recruitment approach showed potential for including
under-represented groups within dementia. Despite
implementation challenges, the intervention was feasible
and acceptable, and showed early signs of sustainability.
Study procedures were feasible and accessible, although
researcher capacity was crucial. Participants needed time
and support to engage with the study. Care plan audit
procedures were feasible and acceptable
Racial and Prejudicial Stereotyping by Police Its Impact on Investigative Interviewing and the Outcomes of Criminal Investigations
No full textThis book uncovers the influence of racial and prejudicial stereotyping during police investigation of suspects from stigmatised communities. The book examines the under-researched aspect of whether and how negative stereotypes appear to influence the police interviews, investigative decision-making, and outcomes of criminal investigations when officers investigate individuals from stigmatised communities as suspects of crime.
In the United Kingdom, the United States, and Europe, the war on terror has been argued to impact adversely on existing race relations policies in the aftermath of terrorist activity in both the United States and Europe. Recent research has suggested that changes in legislation and counterterrorism measures have contributed to the construction and reinforcement of the Muslim community as a suspect, which, in turn, may result in police bias and prejudice towards members of Muslim communities. Based on novel and groundbreaking research studies, the author examines whether such police bias could influence the police investigation and interviewing processes concerning individuals from the suspect community as well as the outcome of a criminal investigation.
The author introduces the Minhas Investigative Interviewing Prejudicial Stereotyping Scale (MIIPSS), an instrument developed and used to assess the level of police interviewers’ racial and prejudicial stereotyping towards suspects from stigmatised groups, and maintains that its use would serve to minimise the influence of racial and prejudicial stereotypes on investigation. It is further suggested that the training of police officers on the implications of such prejudicial (racial/ religious) stereotyping is essential to improving interviewing performance, case outcomes, and community cohesion.
This book will benefit academics, researchers, police officers, lawyers, social policy officers, and probation officers across the globe
Gymnopédie, Tableaux, Silence
No full textChamber music for ensembles with Harp
Da Vinci Classics
202
Cross-Gradient Joint Inversion of DC Resistivity and Gravity Gradient Data: A Multi-Disciplinary Approach for Geoscience, Heritage, and the Built Environment.
Get PDFAccurate subsurface imaging is crucial for understanding complex geological structures. Traditional approaches often involve separate inversion of different geophysical datasets, which may not fully capture the structural similarities between the models. Joint inversion, integrating multiple datasets, offers a more comprehensive view by enhancing the resolution and the accuracy of subsurface models. In this study, we propose a joint inversion technique for DC resistivity and vertical gravity gradient data, leveraging the cross-gradient constraint to enforce structural similarities between the resulting models. This method is applied to both synthetic and real datasets, including case studies involving qanats in Iran and a dolerite dyke in South Africa. The results demonstrate that joint inversion significantly improves the accuracy of resistivity and density models compared to independent inversion, particularly in resolving intricate geological features. This approach has proven effective in enhancing subsurface mapping for multi-disciplinary purposes, including resource exploration, heritage conservation, and risk mitigation for the built environment