The need to record
With collecting comes the need to record. A specimen without a label is simply a (sometimes) pretty object. Without its associated data it is scientifically worthless.
With collecting comes the need to record. A specimen without a label is simply a (sometimes) pretty object. Without its associated data it is scientifically worthless.
In Chicago, formal chains of influence and authority are entirely overshadowed by the ad hoc lines of control which arise naturally as each new city problem presents itself. These ad hoc lines depend on who is interested in the matter, who has what at stake, who has what favors to trade to whom.
This structure, which is informal, working within the framework of the first, is what really controls public action. It varies from week to week, even from hour to hour, as one problem replaces another. Nobody’s sphere of influence is entirely under the control of any one superior; each person is under different influences as the problems change. Although the organization chart in the Mayor’s office is a tree, the actual control and exercise of authority is semilattice-like.
"In today's world, boundaries are fixed, and most significant facts have been generated. Gentleman, the heroic frontier now lies in the ordering and deployment of those facts. Classification, organization, presentation. To put it another way, the pie has been made—the contest is now in the slicing."
Something interesting about the design of Twitter is that it doesn’t have much of a way of rewarding curation, only authorship.
...I’m inclined to think that the mechanisms of distribution of information are very important, and I think figuring out ways to reward good curation is probably an important thing.
...I don’t really know what the solution is here, but I do think that finding and curating good links and bits of information is useful, and something that should be rewarded more than it currently is.
There are two types of work: growth work and maintenance work.
Growth work involves making new things. It can be something big or small. In either case, growth work often follows a loose process.
Maintenance work is different. Maintenance work involves caring for the resources and instruments that make growth work possible. This includes tools, but also body and mind.
Maintenance is ultimately in service to growth. But effective growth can’t happen without maintenance. As with so many things, the ideal is a healthy balance — and it doesn’t come without struggle.
Here I describe an approach for defining new information architectures for large organizational websites managed by many stakeholder groups.
Broadly speaking, there are four general phases to the approach:
- Auditing. Begin by immersing yourself in existing content and encourage stakeholders to adopt a critical, audience-minded perspective of their content.
- Diagramming. Work with stakeholders to develop new conceptual categories that better serve audiences and organizational direction.
- Elaborating. Think through content in detail and test new categories against specific instances and edge cases.
- Producing. Prepare content teams for production using a shared database of new sitemap pages and editorial considerations that you’ve developed incrementally.
I once read a good definition of aptitude. Aptitude is how long it takes you to learn something. The idea is that everybody can learn anything, but if it takes you 200 years, you essentially have no aptitude for it. Useful aptitudes are in the <10 years range.
Your first short story takes 10 days to write. The next one 5 days, the next one 2.5 days, the next one 1.25 days. Then 0.625 days, at which point you’re probably hitting raw typing speed limits. In practice, improvement curves have more of a staircase quality to them. Rather than fix the obvious next bottleneck of typing speed (who cares if it took you 3 hours instead of 6 to write a story; the marginal value of more speed is low at that point), you might level up and decide to (say) write stories with better developed characters. Or illustrations. So you’re back at 10 days, but on a new level.
This kind of improvement replaces quantitative improvement (optimization) with qualitative leveling up, or dimensionality increase. Each time you hit diminishing returns, you open up a new front. You’re never on the slow endzone of a learning curve. You self-disrupt before you get stuck.
The interesting thing is, this is not purely a function not of raw prowess or innate talent, but of imagination and taste.