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This paper examines the salient features of sequence analysis in demographic research. The new approach allows a holistic perspective on life course analysis, and is based on a representation of lives as sequences of states. Some of the methods for analysing such data are sketched, from complex description to optimal matching to monothetic divisive algorithms. After a short illustration of a demographically relevant example, the needs in terms of data collection and the opportunities of applying the same approach to synthetic data are discussed.
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Stored only when both papers are in the corpus — 118 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.