Examining the class system in British museum employment

Sam Evans, a PhD researcher at the Department for Organizational Psychology, is leading a series of focus groups which will ask participants to reveal what it takes to get in and get on in the museum sector, and how social class shapes career chances and experiences.

I’m interested in how inequality is reinforced in the workplace. Class, until recently, has been surprisingly absent from the debate. Research into diversity or equality, often overlooks class, as does occupational psychology in general. Part of the reason for this absence is that class is not a legally protected characteristic, like age or gender, but also it is argued that there has been a more fundamental ‘individualisation’ of Western culture.

Class identities have become more difficult to see or express in the workplace. Our careers are thus seen as our responsibility, and we don’t often think or talk about the structural inequalities that might frame this. However, there is research suggesting inequality at work is increasing, professions are becoming more not less exclusive, and social mobility is declining.

I want to explore these issues in-depth in my research project, The Museum of Them and Us; I am interested not just in how people are classed, but also occupations, roles and organisations. I am particularly interested in why some careers and types of work favour some groups of people and not others. We assume anyone can get in and get on, no matter how tough, given they have the right personal qualities. But what is this really like for people from different backgrounds? I have chosen to look at museums, partly because I am familiar with the field, but also because visiting and working in museums is described as middle class. But why is this, does this account for all types of work, and what does this mean for people who might not be from middle-class backgrounds.

I don’t have a fixed definition of the term ‘class’ (this is a subject that has been debated for 150 years and most researchers recognise there is no one single definition), but am using Pierre Bourdieu’s concept of capital of class. This involves looking at the types of economic, social or cultural capital that are valued within different types of museum work and how this relates to the type of capital people actually have, or are able to acquire. Cultural capital is particularly important as this relates to accent, dress, education and knowledge of particular types of culture, and is often highly valued in cultural work.

I have already conducted interviews with representative bodies, trade unions and membership bodies as well as analysing reports and websites to look at how ‘getting and getting on is described’. I have found that, as with other research, museum work has become less secure and more competitive. The onus seems to be on the person to develop themselves as specialist and professional, and yet also flexible and versatile. This potentially makes it riskier and less beneficial for anyone entering the field. Class was talked about but was often described as difficult to see or measure, and most diversity initiatives were aimed at developing the individual to fit the required ways of working, rather than look more closely at how ways of working might be creating inequalities.

With the focus groups and interviews, on the one hand, I am asking people to talk about their work – what it takes to get in and on, how this might have changed, how this might be different for different roles, are some roles held in higher esteem than others and why. On the other hand, I want to talk about social class – what does it mean to people, do they think class matters and if so, how? I am also asking people to contribute images or photos that they think represent their work.

Take part in the focus groups:

If you have worked or volunteered for a museum you can take part in a focus group or an interview. If people think that class has mattered to them in particular, I am also conducting private interviews.

Taking part is confidential, enjoyable and you will be helping the sector. To take part in a focus group or an interview and for further information, please contact me or visit my website.

Thursday 5 April
6PM – 7.30PM, Birkbeck Main Building, Room MAL 420, Malet Street, WC1E 7HZ  

Wednesday 11 April
6.30PM – 8PM, Birkbeck Main Building, Room MAL 420, Malet Street, WC1E 7HZ.

Thursday 26 April
6PM – 7.30PM, Museums Association Offices, 42 Clerkenwell Close, London, EC1R 0AZ

Friday 18 May
2.30PM – 4PM, Birmingham Museum and Art Gallery, Chamberlain Square, Birmingham B3 3DH

Wednesday 23 May
6PM – 7.30PM, Museums Association Offices, 42 Clerkenwell Close, London, EC1R 0AZ

Thursday 7 June
4PM – 5.30PM, Whitworth Gallery, The University of Manchester, Oxford Road, Manchester, M15 6ER

Thursday 14 June
5.30PM – 7PM, M Shed, Princes Wharf, Wapping Road, Bristol, BS1 4RN

Or schedule an interview:
If you think social class has mattered to you personally in your work or career then you can take in part in an individual interview, by email, Skype or face to face (depending on your location).

If you are interested in finding out more, please contact Sam directly.

About Sam:

I studied History originally, and then spent about 25 years working in marketing in the museum, cultural and public sectors. A lot of my work was really about understanding people and organisational cultures as much as ‘doing’ marketing, hence my interest in studying organisational psychology.  I started studying part time about 8 years ago, first obtaining a degree in psychology at OU, then moving on to the MSc in Organisational Psychology at Birkbeck.

About the same time as graduating, I was made redundant, which forced a decision – stick to the marketing “battleship” I knew, or jump onto the less stable “raft” of psychology. I had already met some PhD students and Dr Rebecca Whiting who became my supervisor, and thought I would really like to study for a PhD here. So when I was offered a studentship, I took the leap. It’s been one of the best decisions I’ve ever made!

From Dr Rebecca Whiting, a lecturer in the Department of Organisational Psychology and Sam’s PhD supervisor:

Sam brings a wealth of experience to her research from working in this sector and an intellectual rigour from her academic training. Class is a challenging concept to research because of the many and sometimes conflicting ways in which its conceptualised and measured.

Many definitions reflect the relationship between class and socio-economic and cultural status. However, since class is not a ‘protected characteristic’ under the Equality Act 2010, it doesn’t always appear as an aspect of diversity in organizations, so is ripe for critical investigation. Museums are key locations of our socio-cultural heritage but are an under-researched context in organizational and occupational research.

This highlights the importance of Sam’s research which brings together this topic and context to explore how class impacts on museum work.

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Physical fitness linked to lower cognitive impairment in dementia

Dr Eddy Davelaar from the Department of Psychological Sciences discusses the importance of physical fitness in offsetting cognitive impairment in adults with dementia.


Dementia and cognitive impairment cost the UK economy approximately £26 billion per year. The number of people with dementia in England and Wales has been projected to increase by 57% from 2016 to 2040, primarily because of extended life expectancy. Finding ways to slow its severity and progression could have life-changing effects for the 800,000 people estimated to be living with dementia in the UK.

With the increased incidence in dementia, people are interested to know whether it could be prevented through changes in their lifestyle, such as eating habits, exercise, and decreased environmental stress. Research does suggest that a healthy lifestyle lowers the risk of dementia. We were interested in physical fitness as one of the lifestyle factors. In our recent article published in Frontiers in Public Health, we asked the question of whether self-reported physical fitness is associated with cognitive, or thinking ability in people with dementia.

To assess this, we used a cross-sectional design with two groups. The first group was made up of 30 older individuals (aged 65+ years) with dementia, who were attending the Alzheimer’s café social events. Those people in the dementia group have lower cognitive performance than the 40 age-matched participants from our control group, who do not have dementia.

We tested everyone on a wide range of cognitive tests, such as verbal fluency, prospective memory, and clock drawing. We also administered a 15-item questionnaire on physical fitness, which asked about strength (eg. ability to lift things), balance, and aerobic conditioning (eg. taking a brisk walk or taking the stairs instead of lifts). Many studies have shown strong correlations between self-report and objective measures of physical fitness. In addition, this questionnaire is available to everyone for self-assessment.

Our findings showed that in the group of dementia patients, those with greater physical fitness also had a greater general cognitive ability. Even those patients with the best cognitive performance still performed worse than the healthy individuals, who did not show this link between physical and cognitive fitness. Thus, physical fitness seems to buffer dementia-related cognitive deterioration.

We ran a number of checks on the results and found that the association did not change when we controlled for the age of the participants, the number of years since dementia diagnosis, the type of dementia, or even whether the person used to be physically active when they were younger. The latter finding suggests that the current state of being physically fit and capable is key to observing this cognitive benefit.

There are at least two explanations for these findings. First, the cardiovascular hypothesis states that physical activity stimulates blood circulation in frontal-striatal circuits (neural pathways that connect frontal lobe regions with the basal ganglia that mediate motor, cognitive, and behavioural functions within the brain), that are critical in executive functioning, such as planning and reasoning.

A second hypothesis suggests that physical fitness measures, such as strength and balance, require efficient brain representations of motor plans. The processes by which these motor representations become more efficient also leads to enhanced cognitive representations. Both hypotheses underscore the expression, ‘what is good for the heart is good for the brain’.

We are currently in the process of addressing the question of whether physical fitness (using both self-report and objective measures) is associated with cognitive decline or cognitive impairment in the absence of dementia. This would assess whether greater physical fitness is associated with greater mental fitness in general, or with cognitive fitness specific in the context of dementia.

Future research could also extend this work using longitudinal study designs in order to address the question of whether a change in physical fitness is associated with a change in the risk of dementia, which has important implications for health policy and age-appropriate physical intervention programmes for both healthy individuals and dementia patients.

Read the original, peer-reviewed article: Increased Physical Fitness Is Associated with Higher Executive Functioning in People with Dementia (2017).

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Assessment, feedback and technology

In a new open access book from the Bloomsbury Learning Environment, Sarah Sherman and Leo Havemann look at the role of technology in educational assessment and what looks set to change.

Assessment lies at the heart of formal learning, and therefore at the heart of our work as educational technology practitioners. For our students in higher education institutions throughout Bloomsbury and the wider sector, undertaking coursework typically involves the use of online services and software to research and produce digital documents which are then submitted via a virtual learning environment (in our case, Moodle). Increasingly, marking and feedback also takes place online. These changes to assessment practices have been brought about through dialogue, collaboration and investment of precious time by academics, administrative staff and learning technologists, and by and large, the results appear to be welcomed by both students and staff. Yet this is not the full story of the role technology already and potentially plays in assessment. Online submission and marking of digital documents represents a digitisation of offline practices, which brings various new affordances (and of course removes others), but is not necessarily transformative.

Student attainment and satisfaction are sector-wide concerns, leading to calls from influential agencies such as the HEA and Jisc to enhance and transform assessment practices. The Bloomsbury Learning Environment (BLE) agreed in 2014 to focus the consortium’s shared activities on the ways in which learning technologies can enhance and support assessment and feedback. We wanted to gain an overview of current practices throughout Bloomsbury, and at the same time uncover and share examples of people making use of learning technologies in ways which go beyond the norm of digitised offline practice. Over the two subsequent academic years, we organised a programme of online and face-to-face events, conducted research, and collected case studies highlighting good practice.

In our experience, teaching staff often do not have much opportunity to find out what their peers are doing. Therefore, we have now published the written outputs of our enhancement theme as a freely available, open access ebook entitled Assessment, Feedback and Technology: Contexts and Case Studies in Bloomsbury. The ebook contains three research papers, which capture macro-level snapshots of current practice across the BLE partner institutions, as well as a wide range of pedagogic and technical case studies. These chapters have been contributed by academics, learning technologists, administrators and consultants, bringing a variety of perspectives to the topic. In developing this collection, our aim is therefore to offer an overview of current assessment practices, and hopefully some inspiration and ideas for making better use of technology.

The research presented in the first three chapters of the book include specific examples of practice at the BLE partner institutions from which broad recommendations have been drawn to help inform wider practice. These papers focus on:

  1. The use of technology across the assessment lifecycle
  2. The roles played by administrative staff in assessment processes
  3. Technology-supported assessment in distance learning

The first chapter introduces the assessment lifecycle model, developed by Manchester Metropolitan University and Jisc, which helps to contextualise the Bloomsbury landscape. The chapter was prompted by a wide-ranging survey conducted by each partner member to gauge how assessment practices were delivered and supported with technology. The second chapter offers administrative perspectives of the processes involved in assessment, and the research provides insight into how course administrators manage their responsibility in the workflow. We explore their pain points and consider improvements. Finally, the third chapter describes the assessment and feedback practices in the Bloomsbury programmes which offer distance learning (DL). Although it specifically considered DL, the findings and recommendations in this chapter are applicable for all teaching models.

The subsequent chapters are case studies of digital assessment and feedback practices, which operate at the micro-level of specific modules, offering an understanding of the pedagogy underlying the adoption of particular tools, and the associated benefits and challenges. The practice described does not simply replicate standard offline practices in a digital way, but extends the role of assessment and feedback. The case studies are categorised into five themes:

  • Alternative Tasks and Formats
  • Students Feeding Back
  • Assessing at Scale
  • Multimedia Approaches
  • Technical Developments

The final section contains three case studies of technical developments, which have been undertaken locally to support or enhance aspects of practice. The book acknowledges the inspiring work of our colleagues but also contributes to the wider discussion in the education community regarding improvements to assessment and feedback. Most of all, we hope this collection will be of interest to academics throughout Bloomsbury and beyond who are curious to learn about and develop new assessment approaches.

Further information: http://www.ble.ac.uk/ebook.html

Sarah Sherman, BLE Service Manager, Bloomsbury Learning Environment @BLE1
Leo Havemann, Learning Technologist, Birkbeck, University of London @leohavemann

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Why “younger” is not always “better” in foreign language learning

TProfessor Jean-Marc Dewaelehis post was contributed by Professor Jean-Marc Dewaele of Birkbeck’s Department of Applied Linguistics and Communications.

Politicians can be forgiven for not having much time to read the fine print when asking advisers to translate research findings into workable policies. Or does it work the other way round? Do politicians decide on policies first and subsequently ask advisers for appropriate research findings to back up the policy?  This seems the case when considering the wide consensus across the world about the benefits of early introduction of foreign languages (FLs) in pupils’ school curriculum. The expression “younger is better” in education sounds perfectly plausible, is simple and convincing, and must be a vote winner.

In the UK, FLs used to be introduced in secondary education. Estelle Morris, then Secretary of State for Education, changed this policy in 2002, scrapping compulsory modern FLs for 14- to 16-year-olds, and introducing them in primary schools. She claimed in 2006 that: “Starting at a much younger age is the best way of making sure we get more pupils taking exams and, more importantly, more of them enjoying and feeling confident about speaking a language other than their own”.

In other countries, FL teaching has even been introduced in nursery schools.  There seems to be a universal consensus among politicians that an early start in FLs will lead to a smoother, quasi-effortless learning process leading to high levels of proficiency in the FLs. Is this a myth?!

Spanish ClassCounter-intuitively, research suggests that adolescents and adults progress more quickly than children when learning FLs in a school context (so-called “instructed FL learning”). Many researchers have serious doubts about age of onset being the most important variable in successful FL learning. Indeed, research shows quite clearly that starting age is only one of many independent variables in very complex question.

A crucial distinction exists between so-called naturalistic and instructed FL learning.  Research on naturalistic learners, typically immigrants, shows that younger children are indeed more likely to become undistinguishable from native speakers of the FL compared to their parents and older siblings. However, the picture is not so clear in research on instructed FL learning, a crucial distinction that is commonly overlooked.

A large-scale project on Age of Onset of Acquisition (AoA) in formal foreign language teaching, the Barcelona Age Factor project has looked at effects of starting age and the comparisons were always of groups with same amount of instruction hours (200, 400, 700, and 800 hours of instruction). Earlier exposure (ages eight to nine) to English (as a third language) in a classroom did not result in better performance. Learners who started English at age 11 and those who had started at age 14 were found to progress more quickly than early learners but, after a similar number of hours of exposure, the differences between the groups were limited, with older starters still having a slight advantage. In another study with young adult learners who had 2500 hours of instruction, AoA was not found to have an effect but amount and type of exposure had a positive effect. In other words, input seems more important than AoA.

A Swiss study (Pfenninger, in press) found no advantages of an early start among Swiss learners of English even after five years of instruction. The writing skills of late starters caught up with those of the early starters within six months.  One possible explanation is that older learners have greater metalinguistic, metacognitive and strategic skills.

Munoz points out that from the observations that younger immigrants and immersion students in naturalistic settings seem to outperform older peers “an inferential leap is made in the assumption that learning age will have the same effect on students of a foreign language, when they are exposed to only one speaker of that language (the teacher, who is not usually a native speaker) in only one setting (the classroom) and only during very limited amounts of time”.

This does not mean that there are no age effects at all in learning and later use of the FLs.  Indeed, younger children seem to be more motivated in learning FLs. In my own research on language choice and self-perceived proficiency among more than 1500 adult bi- and multilinguals, I found that early starters in a FL felt more proficient in speaking, comprehending, reading and writing their FLs. They were also more likely to choose the FL for the expression of anger and feelings, for inner speech and mental calculation.  Interestingly, the effect of mode of instruction was even stronger than age of onset: participants who had acquired the FL naturalistically or in mixed mode (formal instruction combined with authentic use) outperformed participants who had learned the FL through classroom instruction only.

In their excellent overview of the literature on age and the teaching of FLs, Lambelet and Berthele point out that more research is needed on improving age-appropriate teaching techniques in order to boost motivation levels and metalinguistic awareness of FL learners of all ages. Moreover, extra thought needs to be given to the primary school teachers who are suddenly expected to teach a FL and who may lack in confidence and competence. In other words, those arguing for an early introduction of FLs at school need to take the nuanced research findings into account and avoid promising miracles.

At what age did you start learning a foreign language? How do you think this affected your fluency and confidence in the language? Please leave your comments below.

Further reading

  • Dewaele, J. M. (2009). Age effects on self-perceived communicative competence and language choice among adult multilinguals. Eurosla Yearbook, 9, 245–268.
  • Enever, J. (2011). ELLiE. Early Language Learning in Europe. London: British Council.
  • Lambelet, A. & Berthele, R. (2014). Âge et apprentissage des langues à l’école. Revue de literature. Fribourg: Research Centre on Multilingualism.
  • Pfenninger, S. (in press).The literacy factor in the optimal age debate: a 5-year longitudinal study. International Journal of Bilingual Education and Bilingualism.
  • Muñoz, C. (2011). Input and long-term effects of starting age in foreign language learning. International Review of Applied Linguistics in Language Teaching, 49, 113–133.

Other posts by Professor Dewaele:

Other blogs about linguistics:

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