The Politics of Hostage Rescue: Is Violence a Route to Political Success?
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
Over the years, law enforcement agencies have acquired extensive experience with hostage incidents, and most Western countries have officers trained in all aspects of hostage resolution. There are also articles and manuals outlining how to deal with the media coverage of hostage takings (Scanlon, 1989). However, because hostage rescue efforts can provide dramatic visuals that attract enormous audiences, the media have steadily intensified their coverage of such incidents. Today, a group of previously obscure persons can suddenly dominate the media agenda by successfully resisting an armed assault or by seizing hostages and calling themselves terrorists. After defining a hostage incident and looking at the strategy for dealing with such incidents, this article examines the implications of two fatal incidents: the stand‐off involving religious fanatics at Waco, Texas; and the Air France hijacking that started in Algiers and ended in Marseille, France. Both became number one on the Western media agenda, and both became political crises involving the head of state; one threatening a president’s credibility, the other enhancing a president’s status. Together they suggest that the escalating media coverage of such incidents raises questions not only about the effectiveness of current response strategies, but also about political leadership. This article discusses a number of strategies that have been tried or suggested. It also debates whether involvement has a positive or negative effect on political leaders. It concludes that, from the evidence available, a successful hostage rescue can yield political rewards.
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 | 0.001 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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