Dark Side of the Rock : Borders, Exceptionalism, and the Precarious Case of Ceuta and Melilla
Bibliographic record
Abstract
The Schengen zone creates two kinds of subjects: regular and irregular, and two kinds of borders: open and closed. For the irregular migrant, the border becomes a mobility security assemblage consisting of fences, towers, guards, cameras, and sensors, whereas for the regular traveller the border consists of an immigration counter and a rubber stamp on the passport. The object location, along with the historical and geographical context of specific border crossings, define the security practices at that border based on the subject of separation, and the function and location of the border determine the nature of a border-crossing experience. As such, the specific histories of the different border crossings play a central role in determining border management practices. As such, we argue that rather than a uniform European mobility experience, there are situated intersubjectivities of border crossings differing from one port of entry to another. This article argues that Ceuta and Melilla present a window into the role of petty-sovereigns in determining these situated intersubjectivities that define different mobility security regimes.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".