Bibliographic record
Abstract
International development policy has an important role to play in preventing terrorism that originates in developing countries, or that is supported by developing countries. However, countries that use their development policy to prevent terrorism run the following risks. First, using development policy to achieve anti-terrorism goals may result in the allocation of development funds and the institution of development programs that are guided by non- development policy objectives. Second, the use of development programs to achieve security goals may be ineffective if development assistance is used to support coercive state action by developed countries against developing countries, specific terrorists, or terrorist groups. Third, recent reviews of the implementation of coordinated security and development policies indicate that the political economy of government may make these coordinating programs inefficient and ineffictive. Fourth, there is a danger that development assistance will be infected by security goals that will make development policy seem illegitimate in the eyes of certain recipient countries. Fifth, the coordination of development and security policies risks reinforcing the ideology that supports terrorism by reinfocing the view that development aid is not about meeting the needs of develoipng countries, but about meeting the security needs of developed countries.
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 | 0.007 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.008 |
| Scholarly communication | 0.008 | 0.010 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.008 | 0.008 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".