Extinguishing the Torch of Terror: The Threat of Terrorism and the 2010 Olympics
Bibliographic record
Abstract
With the change in seasons comes the expected change of insurgency operations in Afghanistan as Taliban and al-Qaida fighters mount their spring and summer offensives against both NATO forces and Afghanis sympathetic to foreign troops. As insurgents curtail their seasonal operations with the arrival of fall and winter, is it likely that a threat may arise from Afghanistan to affect the 2010 Olympics in Vancouver, British Columbia? As will be illustrated herein, the threat to the games will not be borne directly from the insurgency in Afghanistan but rather by the universal jihadist ideology of al-Qaida rather than the nationalist beliefs of their fellow fighters, the Taliban. This article aims to call attention to the plausible threat to the 2010 Olympics posed by al-Qaida's far-reaching terrorist network while also offering a focused threat analysis based on the network's preferred tactics. Essentially, the power of al-Qaida lies in their network: the threat to the Olympic Games stems from proxy extremist and terrorist groups linked directly and indirectly to al-Qaida.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".