A child in Romania picks up free books from the pavement on World Book Day. Photo: Getty
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Why are children’s books still promoting gender stereotypes?

A good book should be open to anyone, so why do some children’s publishers restrict readership according to gender?

Why do we give books to children? Common answers to that question involve the use of words like “expand”, “open” or “broaden”, followed by “minds”, “hearts”, “horizons” or “imaginations”. Sad then, that many books for children do just the opposite; they peddle stereotypes, close minds to new experiences and offer limited horizons.

The Let Toys Be Toys campaign, which last year persuaded 13 retailers to remove “Boys” and “Girls” signs from stores, is working with Letterbox Library, Inclusive Minds and For Books’ Sake to persuade the publishing industry to drop these labels from books. The Let Books Be Books petition launched for World Book Day, 6 March, asks children’s publishers Usborne, Buster Books, Igloo Books and others to stop labelling children’s activity, story and colouring books as for boys or for girls.

Children are individuals. They should feel free to choose their own interests, not feel that they’re supposed to like or reject certain things. And anyone who chooses a gift based only on a child’s gender is making some massive, and quite likely wrong, assumptions about what that child may like.

Campaign supporters regularly share photos of “boy” and “girl” books with predictably lazy stereotypes on the cover. These are usually colouring, sticker and activity books, although “Stories for Boys” and “Stories for Girls” are also common. Classic novels, great for all children to read, are bundled together with the words “girls” or “boys” slapped on the box. Separate cookery books seem particularly ridiculous; the suggestion being that boys eat pizza and burgers, while girls prefer pink iced cupcakes. We’ve even seen “girls” and “boys” versions of The Bible.

Typical themes for boys include robots, dinosaurs, astronauts, vehicles, football and pirates; while girls are allowed princesses, fairies, make-up, flowers, butterflies, fashion and cute animals. There’s nothing wrong with these things, but it is wrong when they are repeatedly presented as only for one gender. Girls can like pirates and adventure, boys can like magic and dressing up. Why tell them otherwise? Why tell them that boys and girls should like different things, that their interests never overlap, that there are greater differences between genders than between individuals? 

It’s accepted practice to target products at one segment of the population, but when it comes to children’s books it’s morally questionable to promote gender stereotypes. Children take messages about what’s “for girls” or “for boys” seriously.

“Books should give children the chance to explore new things and ideas, and labelling books, and certain subjects, as only for one gender prevents them from doing this,” says Alexandra Strick, of children’s literature project Inclusive Minds. Her co-founder Beth Cox, adds, “These books reinforce stereotypes about what it means to be a boy or a girl, and therefore make children who don’t conform to these stereotypes more vulnerable to bullying and at risk of low self-esteem”.

The campaign also aims to raise discussion on wider issues around gender and children”s books, such as the fact that male protagonists still outnumber female characters by two to one in children’s picture books, or the belief, often expressed by publishers, that boys won’t read books with girl leads.

These issues are connected to a wider culture of inequality. The founder of For Books’ Sake, Jane Bradley, says, “From gendered children’s colouring books to chick-lit book covers illustrated with pink cursive fonts, handbags and cupcakes, the publishing industry aggressively reinforces conventional gender roles to its readers from childhood onwards. This gendered marketing normalises and perpetuates limiting, antiquated stereotypes, and we believe it’s time for the publishing industry to put it where it belongs; in the past”.

Kerry Mason, co-director of the not-for-profit social enterprise Letterbox Library agrees. “This campaign is testament to a growing voice of dissent. We have a very proud and rich tradition of children’s publishing in the UK. But increasingly, parents and teachers feel that children’s own book choices are being limited by publishers’ gendered marketing campaigns.

“At Letterbox Library, we have spent the last 30 years selecting books which give children the widest possible choices in what they read. Our selection is increasingly being threatened by a type of marketing which uses book labelling and covers which restrict a book’s readership. We simply cannot stock books marketed in this way. Gendered marketing is anti-choice and, for us at least, there really is no profit in it. Nor is there much respect for children in it!”

Join the Twitter conversation on the #LetBooksBeBooks hashtag and sign and share the petition if you agree that it’s time for children’s publishers to just let books be books.

 

OLIVER BURSTON
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How science and statistics are taking over sport

An ongoing challenge for analysts is to disentangle genuine skill from chance events. Some measurements are more useful than others.

In the mid-1990s, statistics undergraduates at Lancaster University were asked to analyse goal-scoring in a hypothetical football match. When Mark Dixon, a researcher in the department, heard about the task, he grew curious. The analysis employed was a bit simplistic, but with a few tweaks it could become a powerful tool. Along with his fellow statistician Stuart Coles, he expanded the methods, and in doing so transformed how researchers – and gamblers – think about football.

The UK has always lagged behind the US when it comes to the mathematical analysis of sport. This is partly because of a lack of publicly available match data, and partly because of the structure of popular sports. A game such as baseball, with its one-on-one contests between pitcher and batter, can be separated into distinct events. Football is far messier, with a jumble of clashes affecting the outcome. It is also relatively low-scoring, in contrast to baseball or basketball – further reducing the number of notable events. Before Dixon and Coles came along, analysts such as Charles Reep had even concluded that “chance dominates the game”, making predictions all but impossible.

Successful prediction is about locating the right degree of abstraction. Strip away too much detail and the analysis becomes unrealistic. Include too many processes and it becomes hard to pin them down without vast amounts of data. The trick is to distil reality into key components: “As simple as possible, but no simpler,” as Einstein put it.

Dixon and Coles did this by focusing on three factors – attacking and defensive ability for each team, plus the fabled “home advantage”. With ever more datasets now available, betting syndicates and sports analytics firms are developing these ideas further, even including individual players in the analysis. This requires access to a great deal of computing power. Betting teams are hiring increasing numbers of science graduates, with statisticians putting together predictive models and computer scientists developing high-speed software.

But it’s not just betters who are turning to statistics. Many of the techniques are also making their way into sports management. Baseball led the way, with quantitative Moneyball tactics taking the Oakland Athletics to the play-offs in 2002 and 2003, but other sports are adopting scientific methods, too. Premier League football teams have gradually built up analytics departments in recent years, and all now employ statisticians. After winning the 2016 Masters, the golfer Danny Willett thanked the new analytics firm 15th Club, an offshoot of the football consultancy 21st Club.

Bringing statistics into sport has many advantages. First, we can test out common folklore. How big, say, is the “home advantage”? According to Ray Stefani, a sports researcher, it depends: rugby union teams, on average, are 25 per cent more likely to win than to lose at home. In NHL ice hockey, this advantage is only 10 per cent. Then there is the notion of “momentum”, often cited by pundits. Can a few good performances give a weaker team the boost it needs to keep winning? From baseball to football, numerous studies suggest it’s unlikely.

Statistical models can also help measure player quality. Teams typically examine past results before buying players, though it is future performances that count. What if a prospective signing had just enjoyed a few lucky games, or been propped up by talented team-mates? An ongoing challenge for analysts is to disentangle genuine skill from chance events. Some measurements are more useful than others. In many sports, scoring goals is subject to a greater degree of randomness than creating shots. When the ice hockey analyst Brian King used this information to identify the players in his local NHL squad who had profited most from sheer luck, he found that these were also the players being awarded new contracts.

Sometimes it’s not clear how a specific skill should be measured. Successful defenders – whether in British or American football – don’t always make a lot of tackles. Instead, they divert attacks by being in the right position. It is difficult to quantify this. When evaluating individual performances, it can be useful to estimate how well a team would have done without a particular player, which can produce surprising results.

The season before Gareth Bale moved from Tottenham Hotspur to Real Madrid for a record £85m in 2013, the sports consultancy Onside Analysis looked at which players were more important to the team: whose absence would cause most disruption? Although Bale was the clear star, it was actually the midfielder Moussa Dembélé who had the greatest impact on results.

As more data is made available, our ability to measure players and their overall performance will improve. Statistical models cannot capture everything. Not only would complete understanding of sport be dull – it would be impossible. Analytics groups know this and often employ experts to keep their models grounded in reality.

There will never be a magic formula that covers all aspects of human behaviour and psychology. However, for the analysts helping teams punch above their weight and the scientific betting syndicates taking on the bookmakers, this is not the aim. Rather, analytics is one more way to get an edge. In sport, as in betting, the best teams don’t get it right every time. But they know how to win more often than their opponents. 

Adam Kucharski is author of The Perfect Bet: How Science and Maths are Taking the Luck Out of Gambling (Profile Books)

This article first appeared in the 28 April 2016 issue of the New Statesman, The new fascism