Cleaning up cleaning: the problem with split shift work

Unhealthy and unnecessary working practices impact unseen cleaners. It doesn’t have to be like that argues Ryan Gilfeather.

Ryan Gilfeather

Ryan Gilfeather explores social issues through the lens of philosophy, theology, and history. He is a Research Associate at the Joseph Centre for Dignified Work.

A cleaner sweeps between large white interior walls of a concourse.

Photo by Verne Ho on Unsplash.

In offices across the country cleaners are often kept out of sight whilst the other workers do their jobs. Cleaners are instead brought in for two short shifts, the first starting as early as 1, 2 or 3 am, and a second beginning around 8pm. Most of us overlook this pattern of work, taking for granted that it is necessary.

However, dig a little deeper, and its insidious nature emerges. We begin to see how it is mostly unnecessary and harms the flourishing of cleaners in their health, family, and dignity. It treats small financial gains as worth more than human lives.

For many industries, cleaning does not need to happen in the early mornings and late nights. Consider the downsides of daytime cleaning. The cleaner would need to manoeuvre around colleagues at their desks and in meeting rooms, but they would still clean to a high standard in a similar timeframe. Their job does not need to be done during unsociable hours. There is a minor cost to the company in the office. The office worker might need to briefly step away from their desk for a moment as it is cleaned, they may be momentarily distracted by the sound of a hoover, and a meeting room may be out of action for a very short time. The only costs would be a tiny loss in efficiency and profits to the companies who hire these cleaners. Since the negative consequences of daytime cleaning, instead of split shifts at unsociable hours, are so marginal, the current working patterns are clearly unnecessary.

No choice, compelled to say yes

Importantly, these cleaners often do not have any other choice. I meet many of these cleaners in my work at the Joseph Centre for Dignified Work. None of them choose to work split shifts at unsociable hours. For many, employment with better conditions is simply not available. About 27 per cent are migrants and often they lack English-speaking skills, preventing them from getting other kinds of jobs. 59 per cent have attained an education below the equivalent of C or 4 at GCSE, so it is hard for them to find other work. 17 per cent are ethnic minorities, who face greater barriers accessing other kinds of work. They have to work, they often have no better choices than cleaning, and in this industry they cannot say no to these working patterns. In this way, they are compelled to say yes to these kinds of split shifts.

Split shifts deadly consequences

This working pattern damages health. A recent medical study demonstrates that working night shifts, a similar pattern to split shifts, more than doubles the odds of developing breast cancer Another study shows that shift-work disturbs worker’s circadian rhythms. This in turn leads to problems with cancer, heart health, mental health, and more. Split shifts have deadly consequences for cleaner’s health.

Eroding family time

Split shifts also steal cleaner’s time from their families. When cleaners earn below the real living wage, their family relationships suffer; 48 per cent say that their wage level has negatively affected their relationship with their children. For many, poverty wages force cleaners to take on two or more jobs. As Angus Ritchie, an Anglican priest, academic, and campaigner for marginalised communities puts it, poverty wages force workers to:

‘to choose between spending enough time with their children and having enough money to provide for them.’

These cleaners, who are often on poverty wages too, may only be able to briefly see their children between the end of school and the beginning of the nightshift, but will miss out on caring for them in the morning and enjoying extended periods of quality time. Therefore, when employers unnecessarily force these working hours upon cleaners, it also harms their relationships with their families.

Denying dignity

These patterns of work also render cleaners invisible. In an Equality and Human Rights Commission report from 2014, cleaners spoke about how they were made to feel ‘invisible’ and like the ‘lowest of the low.’ It is hardly surprising that they have this experience when the patterns of work we force upon them are designed to literally stop office workers from seeing them. Cleaners do crucial work which enables the broader enterprise of offices all around the country to function, yet they remain hidden away, their existence and contribution unseen and unacknowledged. Needless to say, these unnecessary split shifts take away their dignity.

Why value humanity

Campaigning to oppose this practice are Christians. Here’s why. The Bible and its tradition teaches that all human beings share the same inextinguishable value. As part of the story of creation says,

“God created humankind in his image, in the image of God he created them.”

Over the centuries Christians have interpreted this passage as affirming the same fundamental value of every person as one made in the image of God. Every person in some way dimly mirrors God’s inestimable goodness and love, and is, therefore, of greater value than all the riches of the world. To treat someone as less valuable than us or material goods is to deny the reality of how God created the world.

Split shifts at unsociable hours, however, represents the opposite belief. As argued above, these patterns of working are largely unnecessary, and only lead to small financial gains for the companies who hire the cleaners through tiny increases in efficiency. However, these small riches are treated as worth more than the flourishing of lives which are of inestimable value because they are made in the image of God. Fractional gains in money are placed above their ongoing health, their family relationships, and their dignity through recognition. These meagre financial rewards are more treasured than the flourishing of lives made in the image of God.

The working patterns are bad for cleaners. Not just because they damage health, but more fundamentally, because they deny the reality of God’s desire for creation. Enforcing split-shifts in pursuit of financial gain values small amounts of money above the flourishing of human beings, the infinitely valuable image of God, in their health, family, and dignity.

Christians are beginning to oppose this practice. For example, in 2017, three Christian organisations (Centre for Theology and Community, Church Mission Society, and the church, St Andrew by the Wardrobe) launched Clean for Good. This ethical cleaning company treats cleaners fairly; they pay the Real Living Wage and give holiday leave, sick pay, training and guaranteed working hours. Crucially, they also don’t force cleaners into working anti-social hours. They offer cleaners working conditions and hours which enable them to flourish in their health, family, and dignity, because they truly believe that these workers are infinitely valuable, being made in the image of God.

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AI - Artificial Intelligence

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21 June 2024

4 min read

It's our mistakes that make us human

What we learn distinguishes us from tech.

Silvianne Aspray

Silvianne Aspray is a theologian and postdoctoral fellow at the University of Cambridge.

A man staring at a laptop grimmaces and holds his hands to his head.

Francisco De Legarreta C. on Unsplash.

The distinction between technology and human beings has become blurry: AI seems to be able to listen, answer our questions, even respond to our feelings. It becomes increasingly easy to confuse machines with humans. In this situation, it is increasingly important to ask: What makes us human, in distinction from machines? There are many answers to this question, but for now I would like to focus on just one aspect of what I think is distinctively human: As human beings, we live and learn in time.

To be human means to be intrinsically temporal. We live in time and are oriented towards a future good. We are learning animals, and our learning is bound up with the taking of time. When we learn to know or to do something, we necessarily make mistakes, and we take practice. But keeping in view something we desire – a future good – we keep going.

Let’s take the example of language. We acquire language in community over time. Toddlers make all sorts of hilarious mistakes when they first try to talk, and it takes them a long time even to get single words right, let alone to try and form sentences. But they keep trying, and they eventually learn. The same goes with love: Knowing how to love our family or our neighbours near and far is not something we are good at instantly. It is not the sort of learning where you absorb a piece of information and then you ‘get’ it. No, we learn it over time, we imitate others, we practice and even when we have learned, in the abstract, what it is to be loving, we keep getting it wrong.

This, too, is part of what it means to be human: to make mistakes. Not the sort of mistakes machines make, when they classify some information wrongly, for instance, but the very human mistake of falling short of your own ideal. Of striving towards something you desire – happiness, in the broadest of terms – and yet falling short, in your actions, of that very goal. But there’s another very human thing right here: Human beings can also change. They – we – can have a change of heart, be transformed, and at some point in time, actually start to do the right thing – even against all the odds. Statistics of past behaviours, do not always correctly predict future outcomes. Part of being human means that we can be transformed.

Transformation sometimes comes suddenly, when an overwhelming, awe-inspiring experience changes somebody’s life as by a bolt of lightning. Much more commonly, though, such transformation takes time. Through taking up small practices, we can form new habits, gradually acquire virtue, and do the right thing more often than not. This is so human: We are anything but perfect. As Christians would say: We have a tendency to entangle ourselves in the mess of sin and guilt. But we also bear the image of the Holy One who made us, and by the grace and favour of that One, we are not forever stuck in the mess. We are redeemed: are given the strength to keep trying, despite the mistakes we make, and given the grace to acquire virtue and become better people over time. All of this to say that being human means to live in time, and to learn in time.

So, this is a real difference between human beings and machines: Human beings can, and do strive toward a future good.

Now compare this to the most complex of machines. We say that AI is able to “learn”. But what does it mean to learn, for AI? Machine learning is usually categorized into supervised learning, unsupervised and self-supervised learning. Supervised learning means that a model is trained for a specific task based on correctly labelled data. For instance, if a model is to predict whether a mammogram image contains a cancerous tumour, it is given many example images which are correctly classed as ‘contains cancer’ or ‘does not contain cancer’. That way, it is “taught” to recognise cancer in unlabelled mammograms. Unsupervised learning is different. Here, the system looks for patterns in the dataset it is given. It clusters and groups data without relying on predefined labels. Self-supervised learning uses both methods: Here, the system uses parts of the data itself as a kind of label – such as, for instance, predicting the upper half of an image from its lower half, or the next word in a given text. This is the predominant paradigm for how contemporary large-scale AI models “learn”.

In each case, AI’s learning is necessarily based on data sets. Learning happens with reference to pre-given data, and in that sense with reference to the past. It may look like such models can consider the future, and have future goals, but only insofar as they have picked up patterns in past data, which they use to predict future patterns – as if the future was nothing but a repetition of the past.

So this is a real difference between human beings and machines: Human beings can, and do strive toward a future good. Machines, by contrast, are always oriented towards the past of the data that was fed to them. Human beings are intrinsically temporal beings, whereas machines are defined by temporality only in a very limited sense: it takes time to upload data, and for the data to be processed, for instance. Time, for machines, is nothing but an extension of the past, whereas for human beings, it is an invitation to and the possibility for being transformed for the sake of a future good. We, human beings, are intrinsically temporal, living in time towards a future good – which machines do not.

In the face of new technologies we need a sharpened sense for the strange and awe-inspiring species that is the human race, and cultivate a new sense of wonder about humanity itself.