diff --git a/README.md b/README.md
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@@ -49,7 +49,7 @@ Virtues were identified interpretively; their identification depended on the sen
 
 An initial analysis (`results` tab of the above spreadsheet, or `text_coding/results.csv`), aided by several LLM tools (kimi-k2.5, glm-5, minimax-m2.5), reveals a distribution with several clusters alongside the outlier of "Adaptability." But the groupings do not create any clear, natural cutoffs. It appears best to treat these virtues as a continuum rather than leaning too hard on the clustering, which is not statistically significant.
 
-A multivariate analysis of the raw coding in (`coding` tab of the spreadsheet, or `text_coding/coding.csv`) suggests, again, that "Adaptability" is not only high in frequency but is a central hub. "Care" and "Consent" represent the strongest association, although they are not very frequent. Interestingly, the _As for Protocols_ snippets have higher network density than the _Protocol Reader_ ones. See multivariate analysis produced by [kimi-k2.5](https://ollama.com/library/kimi-k2.5) in `text_coding/analysis/`.
+A multivariate analysis of the raw coding in (`coding` tab of the spreadsheet, or `text_coding/coding.csv`) suggests, again, that "Adaptability" is not only high in frequency but is a central hub. "Care" and "Consent" represent the strongest association, although they are not very frequent. Interestingly, the _As for Protocols_ snippets have higher network density than the _Protocol Reader_ ones. See multivariate analysis produced by [kimi-k2.5](https://ollama.com/library/kimi-k2.5) in `text_coding/analysis/`. The analysis was double-checked by [minimax-m2.5](https://ollama.com/library/minimax-m2.5).
 
 ## Data stewardship
 
diff --git a/text_coding/.~lock.coding.ods# b/text_coding/.~lock.coding.ods#
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-,ntnsndr,olive,29.03.2026 16:35,file:///home/ntnsndr/.config/libreoffice/4;
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