Shardlake: the Disneyfication of the Monasteries

What works, and doesn’t, translating from page to screen.

James Cary

James is a writer of sit coms for TV and radio.

Two men in Tudor clothing converse in a street

Shardlake, left, played by Arthur Hughes.

Have you ever had that sense of dread on discovering your favourite novel is going to be a movie or a TV series? Fans of CJ Sansom’s books have been divided on the adaptation of their favourite historical novels about a hunchbacked lawyer during the Dissolution of the Monasteries. Some have been delighted by what they’ve seen, and felt the four episodes of Shardlake on Disney+ were true to the original books. Others were appalled.

The originals books are greatly loved. On The Rest is Entertainment podcast, Richard Osman read out comments from his own mother about how and why she loved CJ Sansom’s book so much. I was not so captivated. I read the first book, Dissolution, some years ago and liked it. But I didn’t like it enough to read more.

So when the TV adaptation landed on Disney+ I was curious. My own reaction was relief that CJ Sansom had passed away only days before his first novel arrived in our living rooms. Sansom was committed to historical accuracy and authenticity. The TV Series? Not so much.

But Shardlake is entertainment for the masses, not the bookish. Why shouldn’t sixteenth century monks have incredible teeth? Why shouldn’t they burn candles by the dozen in every room of the monastery, day and night, despite the fact that candles were eye-wateringly expensive back then? And yes, these monks should be going to church at least nine times a day, and spend hours in prayer and private study. But who really wants to watch that? This isn’t Wolf Hall on BBC2. This is mainstream global streaming TV: the Disneyfication of the Monasteries.

Given the differences in the media, why are both versions of Shardlake so successful? The secret sauce is the hunchback himself, Shardlake.

As a screenwriter myself, I know all too well that the dynamics of twenty-first century television – aka ‘content’ – and novels are very different. (My failed novels have reinforced this lesson for me). Shardlake has to appeal to an international audience who have not read, and will never read, CJ Sansom’s books. They won’t even listen to Tom Holland and Dominic Sandbrook talk about the Dissolution of the Monasteries on The Rest is History podcast.

Novels are fairly cheap to print. TV is expensive, burning money faster than the monks of St Donatus can burn candles. Shardlake is international TV, financed internationally and filmed internationally. Consequently, you are not looking at the Kent countryside. You are looking at Hungary, Austria and Romania for a mixture of reasons. Mostly these would be tax breaks, cheaper crews and financial incentives.

St Donatus’s monastery is a mash up of the medieval Kreuzenstein Castle near Vienna and the gothic Hunedoara Castle in Transylvania. It looks brilliant. It just does not in any way resemble a medieval monastery – which were surprisingly uniform through Europe. The chapel at the monastery is comically small, whereas there would, in real life, be a hilariously large abbey.

The New Stateman said, “This is not Merrye Englande. It is the Grand Anywhere we’ve come to know all too well in the age of streaming, and it bores me to death, my eyes unable to stick to it,” which seems a little over dramatic. Most of the reviewers were unconcerned by this lack of historical accuracy. The Guardian called it ‘magnificent’, others ambivalent. It scored about 80% on Rotten Tomatoes with both the critics and the audience. Overall, Shardlake has been a hit.

Given the differences in the media, why are both versions of Shardlake so successful? The secret sauce is the hunchback himself, Shardlake. He is the sleuth, trying to solve the murder of a fellow commissioner in the service of the King’s ruthless right-hand man, Thomas Cromwell. The recipe for the Shardlake sauce is made up of two key ingredients.

Shardlake bears his cross with fortitude, not bitterness.

The first is his goodness. It seems like a bland attribute, but it’s rather refreshing, especially in a world divided both then and now. Shardlake is not complex character with inner demons. (At least that’s not how he’s presented in the first book or this adaptation.) When I read the book, my abiding memory is that Shardlake was one of the good guys. This was surprising at the time as normally Protestants were seen Philistines and cultural vandals who cynically changed their theology to strip the church of its wealth, before passing the churches on to their descendants who smashed the statues, whitewashed the walls and, eventually, cancelled Christmas. Shardlake may be in the service of Thomas Cromwell, but he knows in his heart of hearts that Anne Bolyen was innocent of the crimes for which she was beheaded. And in some small way, he makes amends for this.

But Shardlake’s goodness is only half of the recipe. The other half is his hunched back. In the sixteenth century, this makes him an object of ridicule and shame. It is not flipped around to become a strength. It is an affliction with which he has to cope. Given Shardlake’s world steeped in religion, we are reminded of the ministry of Jesus, who attracted the sick, the crippled, the lepers and the blind. They were, of course, healed and Shardlake is not so fortunate.

Shardlake bears his cross with fortitude, not bitterness. Likewise, Jesus Christ himself bore his cross as a victim of injustice on trumped up charges, beaten and executed as one cursed alongside criminals, saying ‘Father forgive’. Shardlake, like Christ in the gospels, is a suffering servant. And now Disney may see the Gospel According to Shardlake spreading all over the world.

Article

Culture

14 March 2024

5 min read

What AI needs to learn about dying and why it will save it

Those programming truthfulness can learn a lot from mortality.

Andrew Steane

Andrew Steane has been Professor of Physics at the University of Oxford since 2002, He is the author of Faithful to Science: The Role of Science in Religion.

An angel of death lays a hand of a humanioid robot that has died amid a data centre

A digital momento mori.

Nick Jones/midjourney.ai

Google got itself into some unusual hot water in recently when its Gemini generative AI software started putting out images that were not just implausible but downright unethical. The CEO Sundar Pichai has taken the situation in hand and I am sure it will improve. But before this episode it was already clear that currently available chat-bots, while impressive, are capable of generating misleading or fantastical responses and in fact they do this a lot. How to manage this?

Let’s use the initials ‘AI’ for artificial intelligence, leaving it open whether or not the term is entirely appropriate for the transformer and large language model (LLM) methods currently available. The problem is that the LLM approach causes chat-bots to generate both reasonable and well-supported statements and images, and also unsupported and fantastical (delusory and factually incorrect) statements and images, and this is done without signalling to the human user any guidance in telling which is which. The LLMs, as developed to date, have not been programmed in such a way as to pay attention to this issue. They are subject to the age-old problem of computer programming: garbage in, garbage out.

If, as a society, we advocate for greater attention to truthfulness in the outputs of AI, then software companies and programmers will try to bring it about. It might involve, for example, greater investment in electronic authentication methods. An image or document will have to have, embedded in its digital code, extra information serving to authenticate it by some agreed and hard-to-forge method. In the 2002 science fiction film Minority Report an example of this was included: the name of a person accused of a ‘pre-crime’ (in the terminology of the film) is inscribed on a wooden ball, so as to use the unique cellular structure of a given piece of hardwood as a form of data substrate that is near impossible to duplicate.

The questions we face with AI thus come close to some of those we face when dealing with one another as humans.

It is clear that a major issue in the future use of AI by humans will be the issue of trust and reasonable belief. On what basis will we be able to trust what AI asserts? If we are unable to check the reasoning process in a result claimed to be rational, how will be able to tell that it was in fact well-reasoned? If we only have an AI-generated output as evidence of something having happened in the past, how will we know whether it is factually correct?

Among the strategies that suggest themselves is the use of several independent AIs. If they are indeed independent and all propose the same answer to some matter of reasoning or of fact, then there is a prima facie case for increasing our degree of trust in the output. This will give rise to the meta-question: how can we tell that a given set of AIs are in fact independent? Perhaps they all were trained on a common faulty data set. Or perhaps they were able to communicate with each other and thus influence each other.

The questions we face with AI thus come close to some of those we face when dealing with one another as humans. We know humans in general are capable of both ignorance and deliberate deception. We manage this by building up degrees of trust based on whether or not people show behaviours that suggest they are trustworthy. This also involves the ability to recognize unique individuals over time, so that a case for trustworthiness can be built up over a sequence of observations. We also need to get a sense of one another's character in more general ways, so that we can tell if someone is showing a change in behaviour that might signal a change in their degree of trustworthiness.

In order to earn our trust, an AI too will have to be able to suffer and, perhaps, to die.

Issues of trust and of reasonable belief are very much grist to the mill of theology. The existing theological literature may have much that can be drawn upon to help us in this area. An item which strikes me as particularly noteworthy is the connection between suffering and loss and earning of trust, and the relation to mortality. In brief, a person you can trust is one who has ventured something of themselves on their pronouncements, such that they have something to lose if they prove to be untrustworthy. In a similar vein, a message which is costly to the messenger may be more valuable than a message which costs the messenger nothing. They have already staked something on their message. This implies they are working all the harder to exert their influence on you, for good or ill. (You will need to know them in other ways in order to determine which of good or ill is their intention.)

Mortality brings this issue of cost to a point of considerable sharpness. A person willing to die on behalf of what they claim certainly invests a lot in their contribution. They earn attention. It is not a guarantee of rationality or factual correctness, but it is a demonstration of commitment to a message. It signals a sense of importance attached to whatever has demanded this ultimate cost. Death becomes a form of bearing witness.

A thought-provoking implication of the above is that in order to earn our trust, an AI too will have to be able to suffer and, perhaps, to die.

In the case of human life, even if making a specific claim does not itself lead directly to one's own death, the very fact that we die lends added weight to all the choices we make and all the actions we take. For, together, they are our message and our contribution to the world, and they cannot be endlessly taken back and replaced. Death will curtail our opportunity to add anything else or qualify what we said before. The things we said and did show what we cared about whether we intended them to or not. This effect of death on the weightiness of our messages to one another might be called the weight of mortality.

In order for this kind of weight to become attached to the claims an AI may make, the coming death has to be clearly seen and understood beforehand by the AI, and the timescale must not be so long that the AI’s death is merely some nebulous idea in the far future. Also, although there may be some hope of new life beyond death it must not be a sure thing, or it must be such that it would be compromised if the AI were to knowingly lie, or fail to make an effort to be truthful. Only thus can the pronouncements of an AI earn the weight of mortality.

For as long as AI is not imbued with mortality and the ability to understand the implications of its own death, it will remain a useful tool as opposed to a valued partner. The AI you can trust is the AI reconciled to its own mortality.