Evaluation of Canadian Armed Forces cold weather clothing with supplemental Indigenous clothing
Bibliographic record
Abstract
Canadian Armed Forces personnel routinely operate in the harsh environments of the Northern Arctic, where they are exposed to freezing temperatures that could possibly result in injury or death. Canadian Armed Forces personnel often wear specialized clothing with high thermal insulation to help protect them against extremely low temperatures that can occur during the winter months. Improving the methods of protecting personnel in the Arctic would help to increase their safety and improve their performance. Canada’s Northern residents have lived and operated in the Arctic for hundreds of years, and have developed clothing to help protect them from these harsh environments. Defence Research Development Canada has requested that the National Research Council of Canada assist in investigating how the addition of Indigenous-made garments can change the amount of thermal insulation in typical clothing ensembles worn by Canadian Armed Forces personnel. Clothing ensembles that are worn by different branches of the Canadian military, along with a variety of Indigenous-made garments, were tested using a thermal manikin. The standardized total insulation value for each ensemble was calculated, along with the clo values for the hand, foot, head, and neck garments. Ensembles that incorporated Indigenous-made garments had higher standardized total insulation values compared to the base ones that did not use them. Indigenous -made hand garments had a higher clo value compared to those used in the base ensembles. When using Indigenous-made head and neck garments, ensembles had a slightly higher amount of thermal insulation compared to those that did not use them. There were negligible differences between the Indigenous made socks compared to those used in the base ensembles. While it may not be feasible to replace larger garments such as parkas for general military use, the inclusion of smaller Indigenous-made garments such as mittens or neck warmers may offer increased protection for personnel in the harsh environments of the Canadian Arctic.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".