Bibliographic record
Abstract
This policy paper explores the gendered vulnerabilities of migrants seeking refuge from unlivable conditions in El Salvador, Honduras, and Guatemala (Northern Triangle Countries), who are forced to the U.S.-Mexico border and stranded in border camps strung along U.S. entry ports. In particular, it examines the impacts of four immigration and border policies initiated by the Trump administration, and details the compounded risks of violence faced by displaced women and gender-diverse communities while traveling to the border and in border encampments. Migrants seeking asylum experience a range of physical and psychosocial trauma, and their safety is contingent on the varying stakeholder positions of the American and Mexican governments, transnational non-governmental organizations, and the United Nations High Commissioner for Refugees (UNHCR). In evaluating the barriers to accessing basic resources and legal support faced by marginalized communities at the border, I argue that conditions in-camp require gender-sensitive humanitarian interventions from the UNHCR as mandated by its ethical and legal obligation to protect the rights of asylum-seekers. Following my analysis of the gendered vulnerabilities in border encampments and their historical roots, I then propose three potential policy choice sets to address the increasing urgency of the crisis.
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.
How this classification was reachedexpand
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.024 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".