“Illegal Aliens” and the Inconspicuous Geographies of US Immigration and Border Policing within 100 Miles of the US-Canada Border
Bibliographic record
Abstract
Legal provisions in the US have extended the idea of the border to the inside of US territory. Border Patrol Agents confront people in different spaces to inquire about their status. I examine border policing along the northern border of the United States through textual and discourse analysis. This thesis asks: How do border agents exercise power and control the movement of people within 100 miles of the border? In whose interest is the border, the “nation,” secured? The spaces in which these mobile borders are practiced become the sites where “citizens” and “aliens” are produced, reproduced and contested. These border policing practices create the illusion of a “nation” that is secured for “our” interests. However, the interests of these vulnerable groups are not reflected in the immigration policy and along the “border. Therefore the very existence of immigrants and their basic right to be in the US is undermined.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.020 | 0.028 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".