Reimagining Political Community: Diaspora, Nation-State, and the Struggle for Recognition
Bibliographic record
Abstract
In current discussions, diaspora is associated with population movement, the expansion of world markets, advances in communications technology, and flows of capital and labour. The diasporic spread of people seems to move in tandem with the decline of the nation-state as a dominant political system.1 Evelyn Hu-DeHart has linked the rise of diasporic conditions and sensibility in Asia to the expansion of trade and markets. Chinese businessmen and professionals, for instance, seem to be riding the wave of the diasporic boom. As economic tigers and dragons, the overseas Chinese are poised to enter a free-floating, prosperous orbit of trade and growth. Shedding their national identities and “freely” crossing territories, they “identify first with their co-ethnics wherever they are rather than submit to the hegemonizing claim of exclusive citizenship demanded by a single country or nationstate”. With flexible citizenship, unanchored to a specific national community, Asian diasporics take great strides in uprooting themselves, trotting the globe, and in times of vulnerability, resorting to families and kin and to a wide-ranging network of personal and professional connections.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.021 | 0.050 |
| Scholarly communication | 0.011 | 0.009 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".