Descriptions of semiotic systems attempt to generalise features from instances of text.
Halliday and Matthiessen (1999: 323) describe a domain model as a "generalisation across particular instances of text [when] seen from the instance end".
This suggests that textual, i.e. linguistic, features are meaningful and that context of situation is effectively the collection of instances of text.
In other words, it is concerned with how we move from concrete instances of text to the more abstract notions of domain models and the overall system of language.
Therefore, if the meaning of the term in SFL coincides with the way it is used in other disciplines, a domain model should contain only those properties which are shared by all instances of text that are claimed to be an example of that domain.
Machine learning (ML) involves building models from labeled training dataset (instances of texts or sentences) in order to determine the orientation of a document.
Faculty writers in non-Western contexts will have higher instances of text-matching and potential plagiarism than those in Western contexts.
Our first hypothesis, that faculty writers in non-Western contexts would have higher instances of text-matching and potential plagiarism than those in Western context, did not prove to be true.
It turns out to hold a fragment identical to the Masoretic text of the Hebrew Bible and, at nearly 2,000 years old, is the earliest instance of the text.
These elements of the semiotic structure of context are a reflex of the metafunctional organisation of language: that is, these vectors of context resonate not simply in the instance of a text-in-context configuration, but are part of the organisation of language as a system, having been central to its evolution.
