Inadequate Effort: Canadian Military Public Affairs Failed Support to the Canadian Embassy’s Conference About Canada’s Military Mission in Afghanistan, Washington, D.C.
Bibliographic record
Abstract
The Canadian Embassy in Washington, D.C. launched a two-day conference about Canada’s operations in Afghanistan to inform U.S. legislators, U.S., allied and partner nation general and flag officers, and selected diplomats in the American capital area. Canadian military public affairs officer assigned to the Embassy’s Canadian Defence Liaison Staff (CDLS), Lieutenant-Colonel Douglas Martin, suggested that the conference be complemented by erecting a “mock Afghan village” on the grounds of the embassy, to simulate Taliban attacks on the village using simulated gunfire and explosions, to be performed five times during the two days of the conference. The Canadian Embassy is located at 501 Pennsylvania Ave NW, Washington, D.C., in the heart of the U.S. capital, with the Capitol building on one end of the street and the National Mall and White House on the other. Pennsylvania Avenue is said to be the city’s busiest street. This event was to take place September 23-24, 2009, twelve days after the eighth anniversary of the September 11, 2001, al Qaeda attack on New York’s World Trade Centre (WTC) and Arlington, VA’s Pentagon, the headquarters of the U.S. armed services. These attacks killed 2,753 in the WTC and on the airliners that were flown into the WTC’s twin towers; 125 perished in the Pentagon; and the 19 terrorists died in the attack. Also, worthy of recognition are the 343 New York City firefighters, twenty-three New York City police officers and thirty-seven officers at the Port Authority. Another 184 people were killed when the hijacked American Airlines Flight 77 was directed into the building. Another 40 passengers and crew members of United Airlines Flight 93 died near Shanksville, Pennsylvania, when they attempted to regain control of the plane from hijackers (CNN, 2017). On September 13, Washington-based Globe and Mail reporter Paul Koring reported that Defence Minister Peter MacKay's office directed that the gunfire and explosions be removed from the simulations. While ultimately cancelled, the effort to use simulated explosions and gunfire on the embassy grounds raises several issues of concern about how this event was coordinated.
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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.050 | 0.005 |
| Scholarly communication | 0.011 | 0.002 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.031 | 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".