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Related Experiment Videos

The potential to identify South Asians using a computerised algorithm to classify names.

S Harding1, H Dews, S L Simpson

  • 1London School of Hygiene and Tropical Medicine.

Population Trends
|November 5, 1999
PubMed
Summary
This summary is machine-generated.

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Identifying South Asians in historical data is challenging due to missing ethnic origin information. This study explores a computational method using names to overcome this limitation, aiding ethnic studies research.

Area of Science:

  • Social Sciences
  • Computer Science
  • Demography

Background:

  • Ethnic studies often lack crucial data on ethnic origin, hindering comprehensive analysis.
  • Identifying specific ethnic groups, like South Asians, in historical administrative datasets presents significant methodological challenges.
  • Manual methods for ethnic identification are time-consuming, error-prone, and impractical for large datasets.

Purpose of the Study:

  • To evaluate a computational approach for identifying individuals of South Asian origin using their names.
  • To address the data limitations in ethnic studies by providing a scalable identification method.
  • To offer a practical solution for ethnic identification where self-assessment or visual inspection is not feasible.

Main Methods:

  • Development and application of a name-based computerised algorithm.

Related Experiment Videos

  • Analysis of historical administrative datasets lacking explicit ethnic origin information.
  • Comparison of computational name analysis against traditional identification methods.

    • Main Results:

    • The computerised name analysis effectively identifies South Asians in datasets where ethnic origin is not recorded.
    • This method offers a more efficient and less error-prone alternative to manual inspection for specific ethnic groups.
    • The approach is most effective for ethnic groups with distinct naming conventions.

    Conclusions:

    • Computational name analysis is a valuable tool for overcoming data limitations in ethnic studies, particularly for historical research.
    • While effective for certain groups, this method is not a complete substitute for direct ethnic information collection.
    • Future research should aim for direct data collection on ethnicity as the long-term goal for robust ethnic studies.