24-04-2025, 10:54 AM
(24-04-2025, 10:48 AM)oshfdk wrote: You are not allowed to view links. Register or Login to view.(24-04-2025, 10:41 AM)Urtx13 wrote: You are not allowed to view links. Register or Login to view.There’s a 4-phase cycle repeating through the folios, like seasons.
We detect it using statistics, such as token entropy, topic modeling, and FFT (like finding beats in music), among others.
These cycles show up between folios and inside them, and they break when shuffled. So it’s not just the order — it’s baked into the content.
Thank you for the clarification! Where exactly in the output of the code that you provided it's possible to see these cycles?
The cycles become visible at several key points in the output:
- classification_predictions.csv
The file shows that the model can accurately predict which of the four phases a folio belongs to, with an accuracy of over 96%. That would be impossible if there were no internal cycle to detect.
- topic2_autocorr_detrended.png
This plot shows the autocorrelation of one topic across folios. The repeated wave-like pattern reveals a rhythmic structure — a clear sign of cyclic behavior.
- topic2_fft_detrended.png
This is the Fourier Transform of the topic activity. The spike in the frequency domain confirms a dominant, repeating cycle — again, not a random one.
- phenology_match_full.csv
Here we match the detected cycle to real-world plant blooming periods. We find alignment in over 65% of folios (±1 phase), which strengthens the interpretation as a calendar-like structure.
Also you can always create a simple code to see it in figures or charts!

