Bibliographic record
Abstract
Terry Copp’s tireless teaching, research, and writing has challenged generations of Canadian veterans, teachers, and students to discover an informed memory of their country’s role in the Second World War. This collection, drawn from the work of Terry’s colleagues and former students, considers Canada and the Second World War from a wealth of perspectives. Social, cultural, and military historians address topics under five headings: The Home Front, The War of the Scientists, The Mediterranean Theatre, Normandy/Northwest Europe, and The Aftermath. The questions considered are varied and provocative: How did Canadian youth and First Nations peoples understand their wartime role? What position did a Canadian scientist play in the Allied victory and in the peace? Were veterans of the Mediterranean justified in thinking theirs was the neglected theatre? How did the Canadians in Normandy overcome their opponents but not their historians? Why was a Cambridge scholar attached to First Canadian Army to protect monuments? And why did Canadians come to commemorate the Second World War in much the same way they commemorated the First? The study of Canada in the Second World War continues to challenge, confound, and surprise. In the questions it poses, the evidence it considers, and the conclusions it draws, this important collection says much about the lasting influence of the work of Terry Copp. Foreword by John Cleghorn.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.004 |
| Science and technology studies | 0.028 | 0.011 |
| Scholarly communication | 0.012 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 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".