‘Roundabout routes and sanctuary schools’: the role of situated educational practices and habitus in the creation of transnational professionals
Bibliographic record
Abstract
Abstract In this article, I examine the role of ‘education’ in the formation of transnational professionals in contemporary Hong Kong. A significant body of work has been devoted to considering the ways in which knowledge within particular global financial centres is embodied through the practices of a transnational capitalist class (TNCC). Yet, very few researchers have discussed how this TNCC is actually created. In this article, I highlight the importance of one faction of the TNCC ‐‘overseas‐educated locals’‐ and describe the sense of common identity and mutual recognition that binds them. Drawing on fieldwork conducted in Hong Kong and Vancouver between 2000 and 2003, I demonstrate the salience of embedded and spatialized practices of education in the creation of the TNCC. In particular, I look at the role of inculcation within a school/university and home environment, as well as the significance of a distinctive habitus, and conclude that these situated processes are indeed crucial to the development of an exclusive class of transnational professionals.
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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 | 0.002 | 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 | 0.005 | 0.012 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".