When talent meets mobility: un/desirability in Singapore's new citizenship project
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Singapore's marketing strategy as a ‘gateway’ between East and West, a project developed at the end of the 1990s, is based on the city–state's re-positioning in the knowledge-based economy between an emerging China and Western societies. This project targets elite populations whether they are locals or migrants to frame a citizenship design combining mobility and talent. I will critically assess the impacts of Singapore's gateway strategies on the formation of citizens–subjects through the notion of un/desirability. By focusing on stories of desirable subjects, I will stress the everyday tensions arising in the production of neo-liberal citizens. I argue that desirable subjects are struggling with the neo-liberal pressures to become ‘self-governed entrepreneurs’ at the gateway, which is symptomatic of schisms between the city–state's citizenship project and their own practice. I especially target the crucial role of community associations in mediating these tensions and supporting the city–state's citizenship project.
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.
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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it