Conceptualizing virtual transnational diaspora: Returning to the ‘return’ of Chinese transnational academics
Bibliographic record
Abstract
Transnational migration brings to the fore the various social and professional connections migrants maintain with their home and sojourn countries. Drawing on a qualitative case study with 12 Chinese transnational academics in the field of the social sciences and humanities in three higher education institutions in Beijing, China, this article explores their transnational ways of being and belonging. Informed by the theoretical lens of transnational diaspora, our study indicates that the concept of “returnee” is too restricted to capture the transnational work and learning practices and the self-identification of Chinese transnational academics. Our analysis reveals that the study-abroad experience as a PhD student shapes the multiple and simultaneous ways of being and ways of belonging of the transnational academics in relation to China, the host countries where they pursued doctoral studies and, increasingly, de-territorialized transnational academic communities. Mobilizing digital communication technologies, they create spaces to negotiate their identities as researchers, ethnic Chinese and members of transnational academic communities. Their work and learning in transnational spaces have contributed to the formation of virtual transnational diaspora characterized by the inter-dependence of academics across borders.
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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 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".