Bibliographic record
Abstract
South Asia accounted for more than 32 million emigrants worldwide. These figures do not include the Old Diaspora –when millions were taken to work as indentured labourers, losing all links to their ancestral homelands. Most early migratory interactions, initiated by foreigners who came for trade or conquest, took people out of this region, a people that did not venture far from home. The dispersion out of South Asia can be divided into three waves: the Old Diaspora (early to mid-eighteenth century), the New Diaspora (1940s to 1990s) and the Modern Diaspora (beginning in the early 1990s). This latest diaspora is marked by mass migration of software engineers to Western countries, especially the USA, Canada, the UK, Germany and Australia. South Asians are very religious and are less landlocked than people of other faiths in the region. The alienation that result from transplantation in religious and spiritual terms, make migration for South Asians a ‘theologising experience’. Many South Asians have joined the Christian fold in diasporic locations as they feel less stigma than in their ancestral homelands. Uncertainties about the future keep immigrants continually on the edge, which leads some to a deeper spiritual quest.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".