A Study of the Relationship Between Foot Size and Combat Boot Size in the Canadian Forces
Bibliographic record
Abstract
Foot and boot size data were collected on 825 individuals (70 females and 755 males) predominantly Canadian Forces (CF) Land Force (LF) infantry. The differences between foot-plus-sock dimensions and boot dimensions were determined and the results indicate that 227 personnel were wearing the predicted length of boot, 217 were wearing the predicted width of boot, and only 58 were wearing the predicted length and width of boot. The data suggests that priority is given to finding the best fit in the width of a boot and then accepting the best length available in that width. A large number of individuals, however, cannot find a boot that fits properly or do not know what constitutes a good fit and thus must compromise on at least one dimension, usually resulting in wearing a boot that is too long. A new sizing system for boots, which is better correlated to the foot dimensions of the CF LF population, is required. The numerous occurrences of very large differences between boot fit dimensions and foot-plus-sock measurements indicate that many personnel have not been fitted properly. Since these large differences exist for all lengths and widths, a much better fit was theoretically available for many. Soldiers admit there is not enough effort expended to achieve a good fit, a deficiency that can be overcome with minimal training and patience.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".