anger
Coevolution and the bad take machine
An Article by David R. MacIverSo when you have a bad take machine, you get the following processes:
- They make a bad take.
- People are outraged and talk about it.
- The bad take machine likes it and does more of that behaviour in future.
If, on the other hand, they make a take and nobody cares, they do not get reward and the behaviour is selected against.
The behaviours drove the spread of the outrage replicator, and the outrage replicator provides the selection mechanism for the behaviours. Thus, via the spread of our outrage on Twitter, we have operant conditioned the bad take machine into producing worse takes.
Which is to say, it's bad on purpose to make you replicate it.
The Right Tools for the Job
Tool-building is an essential but poorly incentivized component of academic geography and social science more broadly. To conduct better science, we need to
build better tools.
A representational tension
Do I need to know the precise polygonal geometries of Los Angeles and the University of Southern California to assert that the latter is within the former? No. My mind contains no such precise geometric model of points and lines, yet I know that USC is in Los Angeles. When humans reason with the real world, they focus on its objects, relations, and processes—rather than starting with geometry—because these are the keys to understanding and explaining the real world. Our GIS tools, however, usually do the opposite. Built from the geometry-up around the legacy logic of traditional cartography (geometries and layers), most GIS tools today are restricted by that legacy’s limited ability to model objects, relations, and processes. A representational tension thus exists in GIScience between being a geometric information science versus an ontological, relational, and processual information science.
The teleology of tool-building
The teleology of tool-building suggests that the real value lies in the end use of the tool, rather than in its origins
Urban form and grain
One square mile of different cities' street networks, held at the same scale to compare the urban form and grain.
Software often feels inevitable
Software often feels inevitable because its backstory is often invisible. We click a download link, run an installer, and suddenly have a new tool to use. Yet this conceals years of human decisions, experiences, and constraints shaping software outcomes that are in no way pre-destined.