Shifting Boundaries of Control: The Quebec and Vermont-New York Border in the Trump Era and Beyond
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
This article reviews the shifting practices of control along the border New York–Vermont bor-der in the United States and Quebec in Canada during and since the election of the Trump admin-istration in the United States. The authors argue that this period saw an increase in detention, deportation and securitization on both sides of the border, despite the differences in the politi-cal orientations of the Canadian and U.S. governments. Drawing on recent developments in border theory, the article explores the ways in which the northern U.S. border has become increasingly politicized and securitized. The Trump administration’s anti-migrant policies led to a rapid increase in the numbers of asylum seekers crossing the Canada-U.S. border into Quebec in an irregular fashion at Roxham Road in northern New York state. The intense political re-sponse to this situation in Canada and especially Quebec eventually resulted in the renegotia-tion of the Safe Third Country Agreement between the two countries. In the same period, in the northern United States, there was an increase in surveillance and targeting of migrants through the enforcement of international checkpoints 100 miles south of the territorial border. The arti-cle demonstrates how both states attempted to contain the movements of “undesirables,” thus restricting the mobility of certain individuals.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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