Bibliographic record
Abstract
Jerusalem is a city of extremes, where tourists and pilgrims come to see the sights and pray, but where violence is also a daily affair. In the square kilometer called the Old City, which is part of East Jerusalem and thus considered by the international community as occupied territory, the tensions accumulate as (Jewish) Israeli settlers move into houses in the middle of the Muslim and Christian quarters. In order to secure them, numerous cameras have been installed by the police that show all that happens in the narrow streets of the quarter and private security personnel are stationed on many roofs to watch the area. Furthermore, undercover police officers patrol the streets and at times check IDs of Palestinians. In this article, we focus on policing strategies that Israeli private and public security agents use to control this small and controversial urban space. We argue that the constant presence and movement of police, security personnel, and their surveillance technologies in and through the heart of the Muslim quarter should be analyzed within a colonial context and as a deliberate strategy to control and discipline the local population and to legitimize the larger settler project of the Israeli state. This strategy consists of different performances and thus relationships with policed audiences. First, their (undercover) presence is visible for Palestinians with the effect or intention of intimidating them directly. At the same time they also serve to reassure the Israeli settlers living in the Old City and when in uniform foreign tourists. Both Palestinians and settlers will recognize agents and other security arrangements through experience and internalization of the Israeli security mentality, while tourists see them only when in uniform. However, simultaneously, when undercover, their presence remains largely unseen for this third “audience”; the tourists who are not to be alarmed. By showing their presence to some while remaining invisible to others, security actors and technology “perform” for different audiences, manifesting their power within urban space and legitimizing the Israeli occupation.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.028 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".