The Importance of Legislation in Dealing with Extremism and Terrorism: The Experience of Trinidad and Tobago
Bibliographic record
Abstract
While there are vast disparities in size and population between Canada and Trinidad and Tobago (T&T), there are important commonalities between the two including, ethnic and religious diversity, and adherence to strong democratic principals. T&T’s Muslim community represents approximately 5% of the population and has been a strong fiber in the social fabric since 1845. The actions of a small number of citizens has however led to T&T being labelled as having the highest foreign terrorist fighters (FTFs) per capita in the western world. Trinidadians have also been the victims of international terrorism including 9/11 and the Westgate Shopping Mall attack in Kenya. These issues together with the evolving tactics of terror organizations such as ISIL, coupled with T&T being a target rich environment, places terrorism high on the national security agenda.
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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 | 0.001 |
| 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 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".