Finding agency as a Taiwanese youth: On the cultural capital, social ties, and self-efficacy of Taiwanese prospective international graduate students
Bibliographic record
Abstract
This study aims to understand how Taiwanese recent university graduates make academic career decisions through their “bounded rationality” and limited access to information (Spaan & van Naerssen 2018). Further, this study examines how students’ views of their possible futures as migrants are shaped by social pressures to emigrate and by their inventories of migration-supporting social and cultural capitals. Interviews with prospective and current international students, site visits to university campuses and study-abroad agencies, and participatory observation at study-abroad expositions demonstrate that cultural and social capitals influence the migration information sources students access; advisors and consultants in turn constrain the possible migration pathways students pursue. This analysis yields fruitful comparisons to student populations from other highly developed states with now-stagnant economic growth and furthers understanding of how prospective students process news about increasingly onerous visa regimes (Chen et al. 2020) and rising rates of anti-Asian hate crimes (Allen & Ye 2021).
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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 | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".