Bibliographic record
Abstract
This article describes the security procedures that are being implemented in preparation for the 2010 Winter Olympics in Vancouver. The security operation will be the largest ever undertaken in Canada. A total of 11,200 police officers will police the vast area of operations. The Vancouver 2010 Integrated Security Unit, led by the Royal Canadian Mounted Police with assistance from members of local police departments and the Canadian Forces, is in charge of the safety and security of the Olympic Games. However, the transportation security plan that has been devised by the Integrated Security Unit relates only to the security of athletes and officials. Responsibility for the safety and security of the general public outside of the Olympic venues rests with local police services, including Transit Police. Protecting the safety and security of the transit system's passengers, employees and property is the mandate of the Transit Police Service. The Transit Police have been working closely with the Integrated Security Unit to prepare for the Games. The Transit Police officers will work closely with the 21 police jurisdictions that the system passes through to ensure a seamless delivery of service. Transit Police resources will be challenged in handling visitors to the Olympic venues, residents traveling to work and other aspects of daily life, protesters and criminal activity attracted by the crowds. The Transit Police will play an active role in reducing the security risk through high-profile patrols, together with more specialized tactics that include the deployment of explosive scent detection dogs, portable x-ray machines, metal detectors and thermal imaging cameras. Through the ready availability and rapid deployment of such resources, delays and inconvenience caused by security incidents should be kept to a minimum.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.000 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.053 | 0.013 |
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".