Large language models in academic writing
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
The three-model screen
all 1,000 screened works →1 of 3 models called this metaresearch. This work is contested: it sits on the field's empirical boundary, and whether it counts depends on which model you asked. It is one of the 51 works in the disagreement dossier.
Piece on large language models in academic writing, which is squarely a scholarly communication and research integrity topic; the abstract is absent and the clinical venue suggests a commentary or correspondence rather than a study, so the T1/T3 assignment cannot be settled from the payload.
The title indicates commentary about academic writing and scholarly communication, but the missing abstract prevents a firmer assessment.
Title unambiguously targets LLMs in academic writing, i.e. scholarly communication and research practice.
Abstract
No abstract. This is not a gap in this database — OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
The record
- Venue
- Multiple Sclerosis and Related Disorders
- Topic
- Artificial Intelligence in Healthcare and Education
- Field
- Medicine
- Canadian institutions
- SickKids Foundation
- Funders
- —
- Keywords
- Academic writingLanguage modelContent (measure theory)On LanguageEnglish language
- Has abstract in OpenAlex
- no