Hi,
Thanks for asking directly – I appreciate the chance to clarify.
Short answer: the research logic and data are 100 % human + deterministic Python code.
No LLM was used for the core analysis, statistics, morpheme mapping, or historical validation.
All results you see:
- 41,912 words analysed
- 119,278 morphemes identified
- 85 % coverage / 88 % average confidence
- ytedy (6,421 occurrences) = Latin DEINDE
- 17-step oleum aureum recipe on folio 108r
- historical validation (Biblioteca Marciana, Cennino Cennini, Baccanelli ms, La Testa d’Oro, Codice Rinio)
…come exclusively from my own scripts and manual work over the last 9 months of intensive research.
Regarding AI usage: I openly admit that as a non-native English speaker, I used LLMs (Claude) to translate my drafts and polish the final text. If you see “Claude” in my repo history, that is why – it acted as my editor and translator. The science, however, is mine.
Everything is fully reproducible – just clone the repo and run the code:
You are not allowed to view links. Register or Login to view.
Happy to answer any technical or historical questions or show live runs of the pipeline.
Best regards,
Mateusz
Thanks for asking directly – I appreciate the chance to clarify.
Short answer: the research logic and data are 100 % human + deterministic Python code.
No LLM was used for the core analysis, statistics, morpheme mapping, or historical validation.
All results you see:
- 41,912 words analysed
- 119,278 morphemes identified
- 85 % coverage / 88 % average confidence
- ytedy (6,421 occurrences) = Latin DEINDE
- 17-step oleum aureum recipe on folio 108r
- historical validation (Biblioteca Marciana, Cennino Cennini, Baccanelli ms, La Testa d’Oro, Codice Rinio)
…come exclusively from my own scripts and manual work over the last 9 months of intensive research.
Regarding AI usage: I openly admit that as a non-native English speaker, I used LLMs (Claude) to translate my drafts and polish the final text. If you see “Claude” in my repo history, that is why – it acted as my editor and translator. The science, however, is mine.
Everything is fully reproducible – just clone the repo and run the code:
You are not allowed to view links. Register or Login to view.
Happy to answer any technical or historical questions or show live runs of the pipeline.
Best regards,
Mateusz

