Peacock, Robert S.: my Army recollections (November 20, 2006)
Bibliographic record
Abstract
ABSTRACT: Colonel Robert Peacock Starts with background information on Col. Peacock. Born in Hamilton, Ont. Attended Canadian Services College, Royal Roads, 1948. Graduated from Royal Military College in 1952 and commissioned as a Lieutenant in 3`a Battalion PPCLI Had been a teenager in WWII, too young to enlist but wanted to, had been a part of army and air cadets Most soldiers enlisted to get away from home, have an adventure Col. Peacock understood Korean War as part of the Cold War because of how he had been educated at military college but the public barely knew where Korea was, let alone what the war was about Trained in WWII tactics - relied on many WWI tactics in Korea (trench warfare, etc.) - training for Canadian troops was inadequate Weather conditions in Korea made things difficult - very sudden changes. Monsoon season hot, humid and rainy, winters were the coldest Col. Peacock had ever experienced Always enough food for his unit, unlike some others at times - one hot meal per day carried up to the line by Korean porters Morale was high most of the time, soldiers "remarkably happy" Casualties in his unit were almost all wounds, few fatalities - soldiers joked about buddies being wounded and getting to recover in Japan or back home Very fast evacuation system for badly wounded or dead - little opportunity for fellow soldiers to get caught up with casualties rather than getting on with their jobs No Korean civilians within 10 miles of the line, those he met in rear areas were women, children and elderly as fighting age men in the army Canadians respected their Chinese opponents, those who underestimated them at first smartened up quickly Ratings of UN allies - varied from unit to unit depending on leadership and training Officer-enlisted ranks relationship, importance of good leadership on the part of officers and NCOs Canadian Army Special Force was better led than Regular Army because officers were handpicked, not shuffled up through the ranks - "mythology" of the Regular Army in Korea (hardly was such a thing, broken up and many sent to Europe) Return to Canada after Korean War was a non-event - soldiers went home expecting some recognition and got little, if any at all either officially or from society in general Korea was a "forgotten war" because Canada's military and political focus was on NATO and Europe and the Soviet threat there Korean War veterans hardly recognized until very recently
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.190 | 0.146 |
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".