Conversation

I think one of my major frustrations with most scientific papers is they don’t take the semantic concept graph seriously. They treat the summary and conclusion as a place to write marketing material, not to seriously describe the knowledge work which motivated the experiment.
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This is not taking conceptual work seriously - one of the failures of modern biology is we don’t have a strong theoretical practice, and don’t understand how to value this work. "It should be obvious what data to collect, and how to interpret the results". This is utter baloney.
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Not externalizing this work means a massive loss in creative potential, as everyone attempts to recreate the same semantic graphs from scratch, in parallel.
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