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The spread of bibliometric indicators in research evaluation and policy has been accompanied by an increasing realisation that indicators’ use is often problematic and/or inappropriate. In this article, we propose a parsimonious framework to analyse the conditions under which the use of indicators become problematic. We propose that indicators’ use in evaluation can breakdown for three reasons. First, because the parameters of the models linking properties and indicators are unstable and, as a consequence, indicators cannot be compared across spaces or time. Second, because the underlying models are incorrect. Third, because the property of the indicator is irrelevant for the issue examined. This framework can be particularly helpful in fostering an understanding of the problems of conventional indicators in
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Stored only when both papers are in the corpus — 14 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.