research musings
Hélène DrauxResearch musings — where we discuss innovations in bibliometrics and share snippets of bibliometric analyses.
| Platform |  | Pricing | Only free issues | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 52 | Founded | 2 years ago | Last Issue | 2 months ago |
| Active | |||||
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researchmusings.substack.comLatest Issues
From institutional mud to green pasture: university mergers in bibliometric data
Key take aways:
GRID smooths institutional rupture into continuity.
- Although branded as an interdisciplinary restructuring, the Aalto University merger appears to have reorganised research selectively rather than uni...
Coherent, plausible, and wrong: input validation, sycophancy, and what LLMs skip in research design
Key takeaways
Research design requires validation at two phases: the question, and the answer. In this experiment generalist LLMs handle the second by default but skip the first.
Prompting can elicit input validation, bu...
From classification to consequence: define the field, change the answer
Key takeaways:
- The corpus is not a neutral input to bibliometric analysis: it is the primary analytical decision, and one that cannot be safely delegated to an AI system alone without explicit, declared rules; the definition you...
The AI metascientist: designing the kitchen
Key takeaways:
Conversational bibliometrics do not remove methodological authority; they redistribute it: across user expertise, design logic, and enforced infrastructure.
Architectural choice is not about sophistication...
Conversational bibliometrics needs a recipe, not just ingredients
Key takeaways:
Bibliometric analyses are shaped by infrastructural design choices as much as by explicit methodological decisions.
Conversational AI for bibliometrics requires external structural constraints (Model Conte...
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