Lamenting the losses in life

There are paths through the thicket of loss that mental illness causes. Rachael Newham explores lament.

Rachael Newham

Rachael is an author and theology of mental health specialist.

A Victorian fisherwoman sits on a beached boat, shoulder slumped.

But O For the Touch of a Vanished Hand, 1888, Walter Langley. The title is taken from the Tennyson poem 'Break Break Break'.

Photo by Birmingham Museums Trust on Unsplash.

I am lost. I feel utterly bewildered by my surroundings and my head is beginning to spin under the strip lighting. There are people all around me, but I can’t find my bearings. This place should be familiar, it’s somewhere I’ve been a hundred times before, but I feel the panic rise as I try to find my way.

Before I had known exactly where things were, how to navigate the aisles and reach the things I needed with ease, but in the months I’ve been away, things have changed and I cannot face the thought of finding my way around the new arrangement, so I turn on my heel and leave empty-handed.

I haven’t been away on holiday or gone on a work trip, I’ve been locked inside my own head doing battle with my own mind in the shadowlands of mental illness. Stable now, with the crisis averted, I am trying to rebuild and yet the Co-op rearranging my local store has served as a stark reminder that things have changed in me and around me.

And there is no funeral to grieve what you’ve lost, no ‘closure’ as you’re still living it.

This is the where the conversation about mental health awareness falls silent; the reality of the losses mental illness stacks up like Jenga blocks while you aren’t looking. Serious mental illness doesn’t just take your mind; it takes your ability to enjoy the people you love, the work you find fulfilling, the gloriously mundane school run and the life you once almost took for granted.

And there is no funeral to grieve what you’ve lost, no ‘closure’ as you’re still living it, no five-step process to ‘get over it’. There is simply the loss and the life you’re trying to rebuild.

This loss must be grieved. I would argue that all losses must be grieved if we are to learn to live with them. It is as Michael Rosen’s childhood classic “We’re Going on a Bear Hunt” reminds us as the family go on their adventure and encounter the winds and sticky mud: “You can’t go under it, you can’t go over it, oh no! You’ve got to go through it”.

We simply have to let it have its way with us until the raw pain has faded into an ache we can tolerate.

It’s perhaps something the ancient faiths and traditions understood better than we do where there are rituals for grief; whether it be Jewish communities sitting Shi’vah or the Irish keening their songs of mourning, they acknowledge the enormity of grief and the need for communities to come together to process it.

Where the loss is more personal, we can seem to lose access to the healing found in community traditions. When the loss is because of illnesses still so misunderstood and stigmatised, these processes and traditions can feel even further away, still.

And yet.

There are paths through the thicket of loss. William Worden, a Fellow of the American Psychological Association speaks of four tasks of mourning which include accepting the reality of the loss, processing the pain of grief, adjusting to the world afresh and finally finding enduring connection. These tasks were designed with bereavement in mind, but they seem to me to speak to losses in the broadest sense and I have found them to be true in mental illness.

In the Bible we find this prophet Nehemiah, who is tasked with rebuilding the walls of Jerusalem after the Israelites exile in Babylon. They’ve returned home, but home doesn’t look like they imagined to, the place they longed for no longer exists, and they have to accept before they can begin to grieve what has passed. Author Marya Hornbacher writes that

“managing mental illness is mostly about acceptance- of the things you can’t do, and the things you must”

and I see it every day - perhaps you do too - as I take the medication and get the sleep that’s required for some kind of equilibrium to be maintained

Nehemiah grieves and weeps over the city for an estimated four months; but there is no set timescale for such things, we simply have to let it have its way with us until the raw pain has faded into an ache we can tolerate. In the Christian tradition this is called lament; it’s grief directed at God, bringing the pain before him in a way that acknowledges the twin realities of God’s goodness and our grief’s greatness. It is undoubtedly uncomfortable, but it is the gift of honesty. We do not need to put on our Sunday best for God, but can come in our brokenness and mess knowing that we will not be abandoned to it.

And then we begin to adjust to the new normal we find ourselves in. We test the boundaries of what we can do as anyone in recovery does. There is a slow almost imperceptible move towards more of life; a trip to the local shop much like I did during that disorientating visit to the co-op, a visit from a friend or a phone call answered, long avoided. Nehemiah returns to his work for the King - but even then the King asks him why he’s looking so sad. We need not rush in with fake smiles before grief has finished with us, but be honest with those around us - and with God.

We cannot lament our losses without finding a community to be a part of; whether that’s your friends, your local community group or your local church.

The fourth task is that of finding connection. For some it will be found in their friendships, others in their faith communities or peer-led community groups. Whichever way it happens it’s how life grows again around and alongside the loss. Worden I think meant it as a way to continue the connection with a lost loved one, but in the story of Nehemiah we see it as the Israelites first come together to rebuild the wall and then to celebrate it. We cannot lament our losses without finding a community to be a part of; whether that’s your friends, your local community group or your local church, we have to find spaces where we can share ourselves, our stories and know we are not alone. It is perhaps one of our most fundamental needs - it is certainly been mine - to know that I am not alone in my loss and I’m not alone as I survey the wreckage and tentatively begin to rebuild.

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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.