Border and Migration Controls and Migrant Precarity in the Context of Climate Change
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
Climate change impacts natural and human systems, including migration patterns. But isolating climate change as the driver of migration oversimplifies a complex and multicausal phenomenon. This article brings together the literature on global migration and displacement, environmental migration, vulnerability and precarity, and borders and migration governance to examine the ways in which climate-induced migrants experience precarity in transit. Specifically, it assesses the literature on the ways in which states create or amplify precarity in multiple ways: through the use of categories, by externalizing borders, and through investments in border infrastructures. Overall, the paper suggests that given the shift from governance regimes purportedly based on protection and facilitation to regimes based on security, deterrence, and enforcement, borders are complicit in producing and amplifying the vulnerability of migrants. The phenomenon of climate migration is particularly explicative in demonstrating how these regimes, which categorize individuals based on why they move, are and will continue to be unable to manage future migration flows.
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 | 0.002 | 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 | 0.001 | 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