"The 'fightin'est' Canadian general:" Brigadier Christopher Vokes and his approach to military command, June 1942 -- August 1943
Bibliographic record
Abstract
This thesis evaluates the manner in which Brigadier Christopher Yokes dealt with the technical and human aspects of command while commanding the 2nd Canadian Infantry Brigade from 25 June 1942 until the end of the Sicilian campaign in August 1943. It seeks to promote a greater understanding of brigade-level command and to rehabilitate Vokes's reputation as a commander, which has largely been based on certain negative personality traits. The author argues that Yokes was a successful commander because he maintained a good balance between technical skills such as planning and directing operations and his ability to understand, motivate, and lead soldiers, and because his actions were guided by a sound philosophy of command based on personal leadership and teamwork. These elements allowed Christopher Yokes to train and lead a highly effective and cohesive fighting force that defeated some of Germany's best troops in the physically demanding environment of the Sicilian battlefield.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.025 | 0.012 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".