scholarly journals Tackling Differential Attainment in Summative Assessments

2020 ◽  
Vol 13 (3) ◽  
pp. 1-17
Author(s):  
Indranil Chakravorty ◽  
Subodh Dave ◽  
Ramesh Mehta ◽  
Andrew Goddard
Keyword(s):  
Evidence Base ◽  
Medical Professional ◽  
High Stakes ◽  
Profound Impact ◽  
Summative Assessments ◽  
Team Working ◽  
Economic Level ◽  
Indian Origin ◽  
Micro Level ◽  
The Impact

Differential Attainment or Outcomes or award (DA) is a euphemistic phrase that describes the historical and persistent differences in award levels based on factors other than academic/ professional capability or effort. The impact of this endemic discrimination of affected individuals/ groups has a profound impact on careers and wellbeing on a personal (micro) level on them, productivity, team-working or patient safety impact at organisational (meso) level and at a much larger societal/ socio-economic level (macro) level for the country. This roundtable sponsored jointly by the British Association of Physicians of Indian Origin (BAPIO) and the Royal College of Physicians (RCP) is the first of a series of events organised by the BAPIO Institute for Health Research (BIHR) exploring DA across the journey of a medical professional from entry to medical school all the way to retirement. This roundtable is focussed on DA as observed in summative assessments in high stakes professional examinations, which are essential for entry, progression, or accreditation.  The findings and recommendations of this series will be published in the rainbow paper “Bridging the Gap” celebrating diversity in the NHS. This report should be read in conjunction with the scoping paper which presents the evidence base for the discussion and recommendations.

Forecasting US movies box office performances in Turkey using machine learning algorithms

2020 ◽  
Vol 39 (5) ◽  
pp. 6579-6590
Author(s):  
Sandy Çağlıyor ◽  
Başar Öztayşi ◽  
Selime Sezgin
Keyword(s):  
Machine Learning ◽  
Global Economy ◽  
Learning Algorithms ◽  
Forecast Model ◽  
Machine Learning Algorithms ◽  
Gradient Boosting ◽  
High Stakes ◽  
Box Office ◽  
Industry Forecast ◽  
The Impact

The motion picture industry is one of the largest industries worldwide and has significant importance in the global economy. Considering the high stakes and high risks in the industry, forecast models and decision support systems are gaining importance. Several attempts have been made to estimate the theatrical performance of a movie before or at the early stages of its release. Nevertheless, these models are mostly used for predicting domestic performances and the industry still struggles to predict box office performances in overseas markets. In this study, the aim is to design a forecast model using different machine learning algorithms to estimate the theatrical success of US movies in Turkey. From various sources, a dataset of 1559 movies is constructed. Firstly, independent variables are grouped as pre-release, distributor type, and international distribution based on their characteristic. The number of attendances is discretized into three classes. Four popular machine learning algorithms, artificial neural networks, decision tree regression and gradient boosting tree and random forest are employed, and the impact of each group is observed by compared by the performance models. Then the number of target classes is increased into five and eight and results are compared with the previously developed models in the literature.

Is technological change a devourer of jobs?

2017 ◽  
pp. 111-140 ◽  
Author(s):  
R. Kapeliushnikov
Keyword(s):  
Technological Change ◽  
Critical Analysis ◽  
New Technologies ◽  
Employment Growth ◽  
Foreseeable Future ◽  
Employment Effects ◽  
Technological Unemployment ◽  
Micro Level ◽  
Task Sets ◽  
The Impact

The paper provides a critical analysis of the idea of technological unemployment. The overview of the existing literature on the employment effects of technological change shows that on the micro-level there exists strong and positive relationship between innovations and employment growth in firms; on the sectoral level this correlation becomes ambiguous; on the macro-level the impact of new technologies seems to be positive or neutral. This implies that fears of explosive growth of technological unemployment in the foreseeable future are exaggerated. Our analysis further suggests that new technologies affect mostly the structure of employment rather than its level. Additionally we argue that automation and digitalisation would change mostly task sets within particular occupations rather than distribution of workers by occupations.

Transnational logic of gratitude: Marriage migrants’ narratives on marital satisfaction in South Korea

2021 ◽  
pp. 026858092199469
Author(s):  
Gowoon Jung
Keyword(s):  
Marital Satisfaction ◽  
Cognitive Processes ◽  
Gender Ideology ◽  
Marriage Migrants ◽  
Sociology Of Emotion ◽  
Micro Level ◽  
And Gender ◽  
The Impact ◽  
Depth Interviews

Scholarship on marriage migrants has examined the impact of class and gender ideology of receiving countries on their marital satisfaction. However, little is known about the role of transnational background in explaining women’s feelings of gratitude for husbands. Drawing on qualitative in-depth interviews with marriage migrant women residing in the eastern side of Seoul, Korea, this article explores the micro-level cognitive processes in understanding women’s gratitude for their husbands. Categorizing marriage migrants into two groups, ‘gratified’ and ‘ungratified’ wives, the author demonstrates how the gratified wives’ feelings of contentment is mediated by their active comparison of Korean husbands with local men in their homelands, and how these viewpoints conversely affect their aspirations for return. Bringing the sociology of emotion into an explanation of marriage migrants’ marital satisfaction, this study aims to develop a transnational frame of reference as an underlying dynamic for comprehending marriage migrants’ (in)gratitude.

scholarly journals Sustainable Investments in Responsible SMEs: That’s What’s Distinguish Government VCs from Private VCs

2021 ◽  
Vol 14 (1) ◽  
pp. 25
Author(s):  
Jeaneth Johansson ◽  
Malin Malmström ◽  
Joakim Wincent
Keyword(s):  
Decision Making ◽  
Investment Decisions ◽  
Societal Impact ◽  
Venture Capitalists ◽  
Decision Making Processes ◽  
Micro Level ◽  
Sustainable Investments ◽  
Private Venture ◽  
The Impact ◽  
Level Performance

Researchers question the impact of governmental venture capitalists (GVC) compared to private venture capitalists (PVC), but we know little about why this difference occurs and if this criticism is justified. We observed a group of GVCs and developed a new model that describes the way that GVCs process signals pre- and post-decisions. Certain macro level factors severely undermine micro level performance, causing GVCs to financially underperform with respect to PVCs. This helped us to understand that GVCs do not make investment decisions in the same way as PVCs, and what undermines the performance of GVCs’ decision-making processes. The main goals of GVCs are to promote investments in responsible SMEs, mobilizing societal impact. We discuss that the criticism of GVC needs to be more nuanced, as they have a different role than PVC in the financial system as providers of sustainable investments in responsible SMEs.

scholarly journals Polyphenols and Cognition In Humans: An Overview of Current Evidence from Recent Systematic Reviews and Meta-Analyses

2020 ◽  
pp. 1-15
Author(s):  
Daniel Joseph Lamport ◽  
Claire Michelle Williams
Keyword(s):  
Systematic Reviews ◽  
Evidence Base ◽  
Epidemiological Studies ◽  
Cognitive Outcome ◽  
Current Evidence ◽  
Duration Of Treatment ◽  
Current Evidence Base ◽  
Cognitive Benefits ◽  
Meta Analyses ◽  
The Impact

There is increasing interest in the impact of dietary influences on the brain throughout the lifespan, ranging from improving cognitive development in children through to attenuating ageing related cognitive decline and reducing risk of neurodegenerative diseases. Polyphenols, phytochemicals naturally present in a host of fruits, vegetables, tea, cocoa and other foods, have received particular attention in this regard, and there is now a substantial body of evidence from experimental and epidemiological studies examining whether their consumption is associated with cognitive benefits. The purpose of this overview is to synthesise and evaluate the best available evidence from two sources, namely meta-analyses and systematic reviews, in order to give an accurate reflection of the current evidence base for an association between polyphenols and cognitive benefits. Four meta-analyses and thirteen systematic reviews published between 2017–2020 were included, and were categorised according to whether they reviewed specific polyphenol-rich foods and classes or all polyphenols. A requirement for inclusion was assessment of a behavioural cognitive outcome in humans. A clear and consistent theme emerged that whilst there is support for an association between polyphenol consumption and cognitive benefits, this conclusion is tentative, and by no means definitive. Considerable methodological heterogeneity was repeatedly highlighted as problematic such that the current evidence base does not support reliable conclusions relating to efficacy of specific doses, duration of treatment, or sensitivity in specific populations or certain cognitive domains. The complexity of multiple interactions between a range of direct and indirect mechanisms of action is discussed. Further research is required to strengthen the reliability of the evidence base.

Embedding employability within higher education for the profession of policing

2019 ◽  
Vol 9 (3) ◽  
pp. 319-328
Author(s):  
Ian Pepper ◽  
Ruth McGrath
Keyword(s):  
Higher Education ◽  
Design Methodology ◽  
Research Study ◽  
Longitudinal Research ◽  
Evidence Base ◽  
Content Type ◽  
Educational Provision ◽  
Professional Body ◽  
The Impact ◽  
Practical Implications

Purpose The purpose of this paper is to evaluate the impact of an employability module, the College of Policing Certificate in Knowledge of Policing (CKP), on students’ career aspirations, their confidence and wish to join the police along with the appropriateness of the module. This will inform the implementation of employability as part of the College of Policing-managed Police Education Qualifications Framework (PEQF). Design/methodology/approach A three-year longitudinal research study used mixed methods across four points in time to evaluate the impact on students studying the employability module. Findings The research suggests that the employability-focussed CKP was useful as an introduction to policing, it developed interest in the police and enhanced the confidence of learners applying to join. Lessons learnt from the CKP should be considered during the implementation of the PEQF. Research limitations/implications The ability to generalise findings across different groups is limited as other influences may impact on a learner’s confidence and employability. However, the implications for the PEQF curriculum are worthy of consideration. Practical implications As the police service moves towards standardised higher educational provision and evolution of policing as a profession, lessons can be learnt from the CKP with regards to the future employability of graduates. Originality/value Enhancing the employability evidence base, focussing on policing, the research identified aspects which may impact on graduates completing a degree mapped to the PEQF. The research is therefore of value to higher education and the professional body for policing.

scholarly journals Reaching consensus on reporting patient and public involvement (PPI) in research: methods and lessons learned from the development of reporting guidelines

BMJ Open ◽  
2017 ◽  
Vol 7 (10) ◽  
pp. e016948 ◽  
Author(s):  
Jo Brett ◽  
Sophie Staniszewska ◽  
Iveta Simera ◽  
Kate Seers ◽  
Carole Mockford ◽  
...  
Keyword(s):  
Public Involvement ◽  
Evidence Base ◽  
Patient And Public Involvement ◽  
Lessons Learned ◽  
Reporting Guidelines ◽  
Consensus Development ◽  
Face To Face ◽  
Three Phase ◽  
Health And Social Care ◽  
The Impact

IntroductionPatient and public involvement (PPI) is inconsistently reported in health and social care research. Improving the quality of how PPI is reported is critical in developing a higher quality evidence base to gain a better insight into the methods and impact of PPI. This paper describes the methods used to develop and gain consensus on guidelines for reporting PPI in research studies (updated version of the Guidance for Reporting Patient and Public Involvement (GRIPP2)).MethodsThere were three key stages in the development of GRIPP2: identification of key items for the guideline from systematic review evidence of the impact of PPI on health research and health services, a three-phase online Delphi survey with a diverse sample of experts in PPI to gain consensus on included items and a face-to-face consensus meeting to finalise and reach definitive agreement on GRIPP2. Challenges and lessons learnt during the development of the reporting guidelines are reported.DiscussionThe process of reaching consensus is vital within the development of guidelines and policy directions, although debate around how best to reach consensus is still needed. This paper discusses the critical stages of consensus development as applied to the development of consensus for GRIPP2 and discusses the benefits and challenges of consensus development.

scholarly journals Australia's National Suicide Prevention Strategy: the next chapter

2006 ◽  
Vol 30 (3) ◽  
pp. 271 ◽  
Author(s):  
Jo Robinson ◽  
Patrick McGorry ◽  
Meredith G Harris ◽  
Jane Pirkis ◽  
Philip Burgess ◽  
...  
Keyword(s):  
Mental Illness ◽  
High Risk ◽  
Suicide Prevention ◽  
Risk Groups ◽  
Evidence Base ◽  
Prevention Strategy ◽  
People With Mental Illness ◽  
Prevention Activities ◽  
The Impact

Australia?s National Suicide Prevention Strategy (NSPS) is about to move into a new funding phase. In this context this paper considers the emphasis of the NSPS since its inception in 1999. Certain high-risk groups (particularly people with mental illness and people who have selfharmed) have been relatively neglected, and some promising approaches (particularly selective and indicated interventions) have been under-emphasised. This balance should be redressed and the opportunity should be taken to build the evidence-base regarding suicide prevention. Such steps have the potential to maximise the impact of suicide prevention activities in Australia.

Evaluating the effectiveness of interventions to reducing screen time in children: meta-analysis of randomized controlled trials

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Duygu Akçay ◽  
Nuray Barış
Keyword(s):  
Effect Size ◽  
Subgroup Analysis ◽  
Screen Time ◽  
Meta Analysis ◽  
Intervention Group ◽  
Evidence Base ◽  
Control Group ◽  
Content Type ◽  
Mean Differences ◽  
The Impact

Purpose The purpose of this paper is to evaluate the impact of interventions focused on reducing screen time in children. Design/methodology/approach Studies that aim to investigate the effects of interventions aimed at reducing the time spent in front of the screen (i.e. screen time). A Random-effects model was used to calculate the pooled standard mean differences. The outcome was to evaluate the screen time in children in the 0–18 age range. A subgroup analysis was performed to reveal the extent to which the overall effect size varied by subgroups (participant age, duration of intervention and follow). Findings For the outcome, the meta-analysis included 21 studies, and the standard difference in mean change in screen time in the intervention group compared with the control group was −0.16 (95% confidence interval [CI], −0.21 to −0.12) (p < 0.001). The effect size was found to be higher in long-term (=7 months) interventions and follow-ups (p < 0.05). Originality/value Subgroup analysis showed that a significant effect of screen time reduction was observed in studies in which the duration of intervention and follow-up was =7 months. As the evidence base grows, future researchers can contribute to these findings by conducting a more comprehensive analysis of effect modifiers and optimizing interventions to reduce screen time.

Survey of Musculoskeletal Injuries among Female Bharatanatyam Dancers in the Udupi District of India

2021 ◽  
Vol 36 (3) ◽  
pp. 199-206
Author(s):  
Lavanya P Kumar ◽  
Shruti J Shenoy
Keyword(s):  
Medical Professional ◽  
Musculoskeletal Injuries ◽  
Limited Information ◽  
Classical Dance ◽  
Dance Training ◽  
Lower Back ◽  
Injury Occurrence ◽  
Indian Classical Dance ◽  
The Impact ◽  
And Training

BACKGROUND: Bharatanatyam is an Indian classical dance form that is practiced globally. There is limited information about the prevalence of injuries in Bharatanatyam dancers. OBJECTIVES: To investigate the prevalence of musculoskeletal injuries and specifics of dance training in female Bharatanatyam dancers in the Udupi district of India. METHODS: We developed and tested a survey for Bharatanatyam dancers regarding injury history in the prior year, including location, time loss, cause, and need for medical help. We also obtained demographic and training information. RESULTS: 101 dancers completed the survey. 10.8% of dancers reported musculoskeletal injuries because of participation in dance. They sustained 0.65 injuries/1,000 hours of dancing. The most frequently injured areas were ankle (27.2%) and knee (27.2%) followed by lower back (13.6%) and hip (9%). Despite being injured, 36.4% of the dancers continued to dance. 54.5% of the injured dancers sought the help of a medical professional for their dance-related injuries. The most common surface for dance was concrete followed by other hard surfaces such as marble and tile. CONCLUSION: Female Bharatanatyam dancers are prone to injuries of the lower extremity and back. Most dancers in our study practice the Pandanalluru style on hard surfaces. There is a need to investigate the impact of training factors on the injury occurrence.

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