“Home and Away: Diasporas, Developments and Displacements in a Globalizing World”
Bibliographic record
Abstract
This paper examines the involvement of Indian diasporic communities in the dynamics of economic development and population displacement within the Indian subcontinent itself. I argue that the category of diaspora can help to critically interrogate and challenge traditional notions of development and displacement and in doing so help to illuminate the complexities of such processes in the light of globalisation and transnationalism. I examine the historical context of diasporas and their involvement in processes of development and consider questions of identity, place, home and connection between people and the nation-state. I also look at the specific case of Indian diasporas and the impact they have had on the financial and cultural development of India in the recent past. Wile much of the current research on the connections between development and diasporas worldwide has focused on remittances, this paper argues for a wider understanding of both "diasporic capital" - including investments, property ownership and trade - and of "diasporic culture" - as demonstrated by globalised patterns of travel, tourism, communications, cultural production and the creation of living spaces with a self-consciously transnational aesthetic.
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.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.010 | 0.017 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".