Rethinking the Politics of the International Student Experience in the Age of Trump
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
We are living in troubling and uncertain times. Xenophobia is on the rise as right-wing, authoritarian nationalism has witnessed significant electoral gains and the very ideals of democratic inclusiveness and international pluralism are under direct attack. With the election of Donald Trump as President of the United States, the country with the largest share of international students globally is increasingly becoming an unwelcoming place to study abroad. On January 27, 2017, Trump issued an executive order prohibiting entry of citizens from seven Muslim-majority countries(Iran, Iraq, Libya, Somalia, Sudan, Syria, and Yemen), and severely restricting the admission of refugees, into the United States. This initial attempt at a “Muslim travel ban” was subsequently blocked by the federal courts, yet the ongoing efforts of the current U.S. administration to discriminate against Muslim travelers at the border have had a chilling effect on international travel more generally
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.005 | 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