Kuwait and Bahrainâs Anti-terrorism Laws in Comparative and International Perspective
Bibliographic record
Abstract
Counter terrorism is one of the contemporary issues that concerns both the international community and Arab states. A problematic issue in this regard is the lack of a definition, which allows states to criminalize âterrorismâ based on the best interest of each individual state. This thesis examines the laws that deal with terrorism in Kuwait, which rely on Kuwaitâs broad national security laws. Problems with these laws include the lack of the rule of law and violation of human rights. This thesis highlights Bahrainâs experience with counter terrorism and the human right violation during the February 2011 revolution. The thesis emphasises the importance of having an appropriate definition that coincides with the rule of law and human rights, by adhering to the international guidance provided by the 1999 âInternational Convention on Suppression of Terrorism Financingâ and the UN Security Council Resolution 1566 (2004) as a first serious step in combating terrorism.
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How this classification was reachedexpand
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".