text
Let an agent handle texts by author, source, language, genre, date, integrity and rights, and label AI-generated text honestly.
Research draft, second pass
A second pass drafted this model: the structure a model of this thing needs, and what is known about it in the world. The line under this one says how the second half was obtained - researched against sources, or recalled without web access, in which case nothing here was read anywhere and every claim is a lead to verify. Unreviewed either way.
written by Claude from model knowledge without web access - no source was read, every claim is a lead to verify
Researched by: Claude
Purpose and description
Let an agent handle texts by author, source, language, genre, date, integrity and rights, and label AI-generated text honestly.
A coherent written sequence of words conveying meaning, from a note or programme to a book, including testimonies, notices and AI-generated text.
What it is for: Communicating and recording information and ideas.
It can be write, read and translate it; cite and quote it within limits; verify its source and integrity; label its origin, including AI generation.
Distinguishing features
Written language with meaning
Has author, language and date
Copyright may apply
Provenance matters for trust
What it looks like
Words on paper or screen.
How it is recognised
Written language
Authorship and source statements
AI-generated text may carry labels or none
Related models
is a kind of - category
is written by - creator
is recorded in - carrier
is protected by - rights
In practice
Families and kinds
literary and informational texts
personal documents (egodocuments, testimonies)
official notices
technical and mathematical texts
AI-generated text
Identifiers
DOI 10.prefix/suffix scholarly texts
ISBN 13 digits books
Standards and regulation
Copyright law
EU AI Act transparency for AI-generated content
Failure modes and hazards
Misattribution
Unlabelled AI-generated text passed off as human
Copyright infringement
Out-of-context quotation
Also called
+174
Where this came from
wikidata · CC0 1.0
Also registered as vr.tr.text
Drafted structure
Bundle to layer to finding to question, as the second pass will find it: 4 bundles · 8 layers · 8 findings · 16 questions.
Provenance Who wrote it.
Source decides trust.
Author
Authorship.
Authorship
Author.
- Who wrote this text? provenance
- Was it generated by AI? boundary
Source
Publication.
Source
Publication details.
- Where and when was it published? provenance
- Is this the authoritative version? boundary
Content What it says.
Content needs interpretation.
Summary
Main points.
Summary
Summary.
- What are its main points? definition
- Is the summary faithful? boundary
Language
Language and translation.
Language
Language.
- In which language is it written? definition
- Is a translation accurate? boundary
Rights Copyright.
Rights limit reuse.
Copyright
Status.
Copyright
Rights status.
- Is the text in copyright? boundary
- Who holds rights? provenance
Quotation
Fair use.
Quotation
Quotation limits.
- How much may be quoted? boundary
- How should it be attributed? action
Integrity Authenticity.
Integrity protects readers.
Authenticity
Genuine text.
Authenticity
Authenticity.
- Is the text authentic and unaltered? boundary
- How can it be verified? action
Labels
AI disclosure.
Labels
Origin labels.
- Should the text be labelled as AI-generated? boundary
- Which rule requires it? provenance
What the second pass must settle
- Should text genres be separate entries?
- How should AI-generated provenance be recorded?
- How should quotations be limited?