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 research paper explores the origins of the border industrial complex, current American policies supported by private corporations regarding border infrastructure, and the impact of these policies on Central American asylum seekers. My investigation draws from critical border studies literature on the existence of borders as political tools as opposed to ‘neutral lines’ demarcating sovereignty, interrogating how border policies fuel the neoliberal economy. Given this background, I examine the commercialization of human mobility using border policies at the U.S.-Mexico border as a case study. The question at the core of my investigation is: to what extent does corporate investment in U.S-Mexico border militarization obstruct protection for Central American migrants seeking asylum in the United States? In response, I argue that the issue of corporate involvement in U.S. border policy is important to examine because of how it impedes the implementation of progressive immigration policy by centering the border security market, and decentering human rights. More specifically, I contend that border violence as funded by corporate investment in state bordering becomes a way of maintaining racial hierarchy through movement and citizenship restrictions against racialized migrants from the Global South.
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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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