Gateways and Gatekeepers: Walking Through International Relations
Bibliographic record
Abstract
This research project is based on the increasing importance states like Canada and Singapore give to their gateway initiatives, marketing cities like Singapore and Vancouver, as bridges between the East - mainly understood as the People's Republic of China - and the West. I am interested in the everyday life changes developing in Singapore and Vancouver as a result of these gateway initiatives in the business and education sectors, notably when it comes to catering to international students and young professionals. In trying to understand how gateways between East and West are experienced in everyday life, I argue that these initiatives take meaning through the everyday actions of individuals and community associations embodying these gateways. More specifically, I am interested in the actions of what I call gatekeepers: Chinese community associations well established in Singapore and Vancouver that have to adapt, influence and appropriate these gateway initiatives. It is my contention that both gateway projects in Singapore and Vancouver, Canada are based on neo-liberal assumptions with respect to profiting economically from a specific international context in which the economic rise of China is marketed to the West. The stories of community associations and individuals are giving to these projects specific nuances and goals that reflect both broader trends in the international political economy, such as the use of international education to migrate to Western countries, and smaller perspectives, such as transnational survival strategies of families. In this dissertation, I examine more thoroughly the structural limitations neo-liberal assumptions of these gateway projects create on: who is seen as a desirable migrant for/at the gateway, how community associations ought to adapt to stay relevant within these gateways and how exclusions are created along identity lines and privilege assumed within a neo-liberal framework.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.025 | 0.024 |
| Scholarly communication | 0.012 | 0.010 |
| Open science | 0.001 | 0.013 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".