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In this article we present a content analysis framework for textual analysis of programmatic documents with the goal of identifying party positions on the ethnic dimension of political competition. The proposed approach allows for evaluation and comparison of how party systems in multi-ethnic states process ethno-cultural claims and demands. Our method of content analysis of party programmatic texts provides adequate granularity by which to capture the subtleties of ethno-cultural political rhetoric. It also addresses some of the misclassification and measurement problems raised in the literature with respect to the dominant Comparative Manifesto Project (CMP) approach to textual analysis. We demonstrate how estimates generated by our method for human-based coding constitute an improvement on the CMP’s estimates of party positions on ethno-cultural issues.
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Stored only when both papers are in the corpus — 45 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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