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 tells the stories of illegalized migrant people moving through two violent, transcontinental borderscapes: the EurAfrican border that spans Western Europe, the Mediterranean Sea, and pushes further south each year across Africa; and the American border that stretches from the interior of the United States, through Mexico and Central America, and into South America and the Caribbean. Comparative analysis of these borderscapes reveals similar logics, practices, and policies of border enforcement, as well as strategies that migrant people use to subvert them. We argue that fugitivity provides a critical lens for understanding the co-constitution of borders and border transgression, and reveals how the border manufactures its objects—producing fugitive subjects, spaces, and relations across expanding spatial and temporal distances. As a lens rooted in histories of racialized control over human mobility, fugitivity allows us to chart contemporary territorializations of racial domination through bordering alongside constant challenges to these territorializations through movement. Ultimately, fugitivity provides a method that not only maps out the violence and failures of bordering, but one that imagines alternative geographies emanating from the underground of marginalized people, spaces, and relationships.
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) | 0.000 | 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