Who is Asian? A category that remains contested in population and health research
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Continuing inconsistent use of the term 'Asian' and its appearance for the first time in the 2001 Census justifies an examination of its utility in population and health research. Given the potential for 'Asian' to describe either persons with origins in the Indian subcontinent or those originating from continental Asia, there is a strong argument in studies employing ethnicity as a measure of broad historical processes of colonialism, migration, and discrimination for privileging 'South Asian' over this contested term. Where the focus is on ethnicity as personal identity, there is some evidence of the emergence of bicultural terms such as 'Asian British' and 'Scottish Asian' and of more limited use regionally of 'Asian' and qualified terms such as 'Hindu Asian'. However, such usage cannot be generalized to the acceptance of a pan-Asian identity. Further, the different meanings that attach to terms such as 'Asian' and 'Indian' in the USA and Canada in terms of the specificity of each country's historical process of ethnogenesis mean that, where international comparisons are being made, accurate description of the population is needed to explain the terminology.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.056 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it