The decade that defined sport

What the sports stars of today owe to the eighties.

Simon Burton-Jones

Simon is Bishop of Tonbridge in the Diocese of Rochester. He writes regularly round social, cultural and political issues.

Maradona runs in celebration, holding a hand aloft as an England player sits dejected on the ground.

Maradona celebrates, 1986 World Cup.

Dani Yako via Wikimedia Commons

If the 1980s were your formative years as a sports fan, you will carry many images with you even today. Dennis Taylor potting the last black after midnight to beat Steve Davis. Barry McGuigan defeating Eusebio Pedrosa in the ring at Loftus Road. The races between Coe and Ovett at the Moscow Olympics. The tie break between Borg and McEnroe. Botham’s Ashes. Diego Maradona versus England at the Mexico World Cup.

You will undoubtedly have other memories, though these will have been controlled by a limited number of broadcast editors. I clearly recall watching Viv Richards’ astonishing century in one cricket World Cup final against hosts England being regularly interrupted on BBC1’s Grandstand with coverage of a routine horse race meeting. The introduction of the less fusty World of Sport on ITV was a route in for some sports that faced an implicit class bias, but it was all still far removed from the 24/7 reverencing of sport today.

The eighties was an era of transition as sport began to gain a place in our cultural consciousness. It was also a decade in which the relationship between sport and politics became cemented on paths we still walk. In Everybody Wants To Rule The World, academic and journalist Roger Domeneghetti has written an entertaining and informative book subtitled ‘Britain, Sport and the 1980s’.

In our branding of the twenties as the decade of polarisation, we forget how deeply divided Britain was in the eighties. Recent commentary on the fortieth anniversary of the miners’ strike has been a reminder of this and how violent public life proved. Football hooliganism was pervasive and after a riot at a Luton Town – Millwall game in 1985, Margaret Thatcher asked of football officials: ‘what are you going to do about it?’. In a pithy and telling response, the FA secretary Ted Croker said: ‘Not our hooligans, Prime Minister, but yours. The product of your society’. Perhaps more than any other exchange, it symbolised the braiding of sport and politics, threads that endure to this day.

The sports stars of today have become surrogate saints, held up as an inspiration for what can be achieved and frequently employed as motivational speakers.

The argument that sport and politics don’t mix has a familiar ring for people who live with the tired old trope that religion and politics don’t either, as if our experience of culture and values are sealed off from each other. Sporting boycotts in the 1980s - from Olympics to apartheid South Africa – placed athletes in the unavoidable position of having to make decisions about participation that would reflect on their values and could affect their careers; positioning that other people were spared. These were an early taste of the moral standing afforded to sportsmen and women today; a status that somehow asks more of them, perhaps because other professions have become so tarnished and mistrusted.

Domeneghetti’s book is also a sobering reminder of how ugly and careless much of our shared life was in the eighties. The Bradford City fire and Hillsborough disaster were awful losses that showed the low priority of health and safety and the culture of institutional cover up that continues to blight the nation. The author locates these failings in the wider context of disasters like Kings Cross, Piper Alpha and the Marchioness boat as part of his bid to write a social history of sport.

Yet in a sense, Domeneghetti chose arbitrary parameters. Football in particular was on the cusp of a revolution with the introduction of the Premier League in 1992. Cultural sympathy for the game was about to change with the writings of Nick Hornby in Fever Pitch and Pete Davies in All Played Out. The nasty face of football was to be transformed into a highly marketable model.

The ugliness of the era is laid bare in the prolific and casual racism, sexism and homophobia that coursed through every sport. The Windrush’s second generation broke through in the 1980s, notably in football, but was met with staggering levels of prejudice. Anyone tempted to think this has now been eradicated hasn’t spent any real time at a football ground or on social media. Women’s sport had virtually no profile in the eighties outside of tennis and athletics and as recently as 1978, Lord Denning had ruled that an eleven-year-old girl should not be allowed to play competitive football against boys the same age even though she merited a place in her team. Meanwhile, stars like Justin Fashanu, Martina Navratilova and John Curry were targeted for their sexual orientation. It remains hard for present day athletes to identify as gay, despite the rhetoric of acceptance. Sport then, as now, held up an unerring mirror to our faces.

The sports stars of today have become surrogate saints, held up as an inspiration for what can be achieved and frequently employed as motivational speakers. But there is the gloss of a hyper-individualistic, neo-liberal culture. Sports stars succeed because of a combination of innate gifting (which cannot simply be replicated) and material advantage (too many Olympic medals are still awarded to wealthy and advantaged Britons). I won because I wanted it more is a dishonest assessment of sporting success in the UK and in this way also holds up a mirror to other walks of life.

The powerful personal branding of today’s athletes in many ways have their origin in the 1980s and the way the likes of Ian Botham, Carl Lewis and John McEnroe transcended their sports. The cult of the conquering superstar is a smart diversion from the reality that money usually wins. Just look at the Premier League table.

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Comment

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.