Canadian Battle of Normandy Foundation 2003 Study Tour: Sicily and Italy
Bibliographic record
Abstract
M ay 2003 marked a turning point in the Canadian Battle of Normandy Foundation's history.Since 1995 the highly successful Study Tour program has focussed each year on the Battle for Normandy and one other campaign of significance to Canadians.On previous tours, those rotating campaigns have included the 1944/45 advance into Belgium, Holland and western Germany, the Combined Bomber Offensive, the Italian mainland, and Canada's First World War battlefields.To honour the 60th anniversary of Canada's role in the invasion of Sicily, and the battles for the Moro River and Ortona, this year's tour concentrated entirely on the Italian campaign.This focus reflects the Foundation's broadening role in commemorating not just the Battle of Normandy, but important Canadian First and Second World War sites across Europe.Being the first CBNF tour not to go to Normandy gave the students their own sense of what it was to be a "D-Day Dodger in Sunny Italy!" David Patterson, from the Canadian Land Forces Command and Staff College led the tour, assisted by Michael Boire from the Royal Military College and Lee Windsor from the University of New Brunswick.They took with them ten remarkable, intelligent, and enthusiastic young Canadians.Also along for the ride to observe the CBNF Study Tour formula first hand was Legion Magazine Editor Mac Johnston and Jim Johnston from Veteran's Affairs Canada.After landing at Catania, Sicily, the group started their journey on the Canadian landing beaches south of Pachino.For the next two days they advanced into the mountainous interior taking time to look at the battles for Valguarnera, Assoro, and Agira to name a few.The column Canadian Battle of Normandy Foundation 2003 Study Tour
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.033 | 0.004 |
| Scholarly communication | 0.007 | 0.001 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.036 | 0.002 |
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".