Skip to main content

Domestikator is nasty public art. The Louvre was quite right to reject it | Jonathan Jones

In a gallery, obscenity is one thing. But in a public space where people of all ages will see it without choosing to do so? That’s bullying

The other day I walked into a Brussels art gallery where a colossal bronze woman was swooning in sensual ecstasy. In case of any confusion about its sexual content, this new sculpture by Tracey Emin is called All I Want Is You. I couldn’t help telling the artist she should erect it in a London park. “Erect” is the right word, for she jokes that from one angle it looks like a giant cock.

Dutch artist Joep van Lieshout’s Domestikator, a model of a modernist building that happens to be shaped like a man penetrating a dog, makes me worry that I offered the wrong advice. Raunchy art in the adult and sophisticated context of a gallery – if necessary with warnings about its content – is one thing. Obscenity in public space where people of all ages will see it without making any choice to do so is another.

Continue reading...Network Front | The Guardian http://ift.tt/2x4DATu October 18, 2017 at 07:33PM

Comments

Popular posts from this blog

Controlling legend appearance in ggplot2 with override.aes

[This article was first published on Very statisticious on Very statisticious , and kindly contributed to R-bloggers ]. (You can report issue about the content on this page here ) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. In ggplot2 , aesthetics and their scale_*() functions change both the plot appearance and the plot legend appearance simultaneously. The override.aes argument in guide_legend() allows the user to change only the legend appearance without affecting the rest of the plot. This is useful for making the legend more readable or for creating certain types of combined legends. In this post I’ll first introduce override.aes with a basic example and then go through three additional plotting scenarios to how other instances where override.aes comes in handy. Table of Contents R packages Introducing override.aes Adding a guides() layer Using the guide argument in scale_*() Changing multiple aesthetic par...

Using RStudio and LaTeX

(This article was first published on r – Experimental Behaviour , and kindly contributed to R-bloggers) This post will explain how to integrate RStudio and LaTeX, especially the inclusion of well-formatted tables and nice-looking graphs and figures produced in RStudio and imported to LaTeX. To follow along you will need RStudio, MS Excel and LaTeX. Using tikzdevice to insert R Graphs into LaTeX I am a very visual thinker. If I want to understand a concept I usually and subconsciously try to visualise it. Therefore, more my PhD I tried to transport a lot of empirical insights by means of  visualization . These range from histograms, or violin plots to show distributions, over bargraphs including error bars to compare means, to interaction- or conditional effects of regression models. For quite a while it was very tedious to include such graphs in LaTeX documents. I tried several ways, like saving them as pdf and then including them in LaTeX as pdf, or any other file ...