Control model for the alignment of the quality assessment of scientific documents based on the analysis of content-related context

Abstract

A control method is proposed for the construction of a quality assessment of scientific and technical documents in natural languages based on the formalization of the perceptions of a document’s content-related context. A method is provided for using the models of documents characterizing their subject and content alongside bibliometric and scientometric data and indicators to identify both the objective and subjective (authors’ and readers’) content-related context of the analyzed document. An outlook is given as to how the context analysis of scientific and technical documents, taking into account quantitative measures of quality (information capacity, significance, and independence of content), as well as traditional bibliometric and scientometric indicators (the document’s citation index and the journal’s impact factor) provides for an objective assessment of the document’s quality 1 .

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No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 10 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.