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 argues that border management practices in the Sahel, strongly driven by European concerns and funding, are reaching into new geographic and policy areas. It introduces the concept of borderwork ‘creep’, to highlight how border management practices have, in the last 15 years, expanded along three axes. This term borrows from debates on ‘function creep’ in surveillance studies which have generally been focused on digital technologies in the global north. The first axis is a cartographic one, with borderwork functioning through a denial of cartographic limits to border security. Borderwork has crept inland, with security practices taking an expansive vision of the borderland and bringing controls to key inland nodes. The second is that of a cross-pollination of policy areas with a growing role for judicialised modes of justification for borderwork. The third relates to faith in technology, with new digital geographies making borderwork in the Sahel reliant on data handling and sharing. To make these arguments, the article draws on fieldwork since 2013 in Senegal, Mauritania, and Niger. By examining the breadth and expansion of borderwork in the Sahel, it contests visions that centre ‘Fortress Europe’ and instead highlights the multiple often overlapping global and local interests that expand borderwork in the Sahel.
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 | 0.001 |
| 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 | 0.000 |
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