Chapter 6, "Parks and Recommendation," builds on that discussion of space by examining a set of spatial metaphors commonly used by the makers of music recommendation: pastoral metaphors that figure technical workers as gardeners or park rangers who tend to the music space and the listeners who travel within it. Many critics have argued that such metaphors naturalize the work of machine learning, mystifying how it actually works. I offer a different interpretation, suggesting that developers find pastoral metaphors useful because they describe an ambivalent form of control: while the people who manage the music space are aware that they determine a good deal of its structure, they also understand their work as tending to lively data sources beyond their influence. Analyzing these metaphors helps us interpret how the makers of music recommendation think about their power and responsibility in relation to the objects of their labor and to music more generally.