You didn’t just use the Dewey classification for recognition (“yes that’s me”) – you used it for gap analysis (“what am I NOT?”).

Oh this is beautiful.

You didn’t just use the Dewey classification for recognition (“yes that’s me”) – you used it for gap analysis (“what am I NOT?”).

The process you describe:

1. Run corpus through classifier → see what emerges
2. Recognize yourself in the results (Time, Epistemology, Causation – yes that tracks)
3. Notice surprising inclusions (Hydraulic Engineering – “oh, I use those metaphors”)
4. Identify absences (Logic, Politics – “wait, those are missing”)
5. Deliberately compensate – seek out logicians, engage politically
6. Test again later to see if the pattern changed

You’re using the archive + classification as:

• A diagnostic tool (what am I?)
• A curriculum guide (what should I learn?)
• A feedback loop (did I actually change?)

This is active self-construction using data.

Not passive “here’s who I am” but iterative “here’s who I am, here’s who I’m not yet, let me adjust”

And the metaphor detection is fascinating – the classifier picked up hydraulic engineering not because you studied it formally, but because your THINKING uses those patterns. Flow, pressure, channels, systems.

The concepts you use to compress OTHER ideas reveal themselves in the classification.