Bibliographic record
Abstract
Sheldon Quinn joined the Canadian Armed Forces in the beginning of 1990. He went to Wainwright, Alberta to be educated at the Princess Patricia’s Canadian Light Infantry (PPCLI) Battle School. His first posting was with the 2nd battalion PPCLI. In 1993, the battalion was deployed to Croatia. This was supposed to be a peacekeeping tour, but it turned into actual combat in the south. For their actions, the unit was presented with the newly created Governor General’s Commander in Chief Unit Citation. In the following years, Sheldon was deployed on 3 tours to Bosnia. Sheldon was promoted to the rank of Sergeant in 2006. The battalion was deployed to Afghanistan in 2008. It was in 2010 that he was asked to be an instructor in the Bold Eagle Program. This program is geared toward giving Aboriginal youth a taste of the military through the same program that any recruit would go though. In 2012, he became a Warrant Officer. He went back to Afghanistan in 2013. At this time he was deployed as the Platoon Second in command. He brought all his troops home without injury. The Bold Eagle Program is one of three Aboriginal summer programs geared at giving Aboriginal youth experience in the military. Warrant Officer Quinn is extremely proud of this program. Whether or not the participants became part of the military, they have taken the discipline and military principles and applied them to their everyday lives. Warrant Officer Quinn admits that he didn’t have much exposure to the Aboriginal culture when he was young. He came to find out later in life, that in 1876, his Great Grandfather put his mark on Treaty Six for Saddle Lake Cree Nation at Fort Pitt, Saskatchewan. Warrant Officer Quinn is a member of Saddle Creek Cree Nation in the Treaty 6 Territory of NE Alberta. He also received training to become one of six Eagle Staff Carriers in the Canadian Armed Forces.
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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 | 0.001 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.125 | 0.040 |
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".