Bibliographic record
Abstract
A Township at War is the story of one community, the southern Ontario township of East Flamborough, during the First World War. It takes the reader from rural Canadian field and farm to the slopes of Vimy Ridge and the mud of Passchendaele, and shows how a tightly knit community was consumed and transformed by the trauma of war. In 1914, East Flamborough was like a thousand other rural townships in Canada, broadly representative in its wartime experience. A Township at War draws from rich narrative sources to reveal what rural people were like a century ago – how they saw the world, what they valued, and how they lived their lives. We see them coming to terms with global events that took their loved ones to distant battlefields, and dealing with the prosaic challenges of everyday life. Fall fairs, recruiting meetings, church services, school concerts – all are re-imagined to understand how rural Canadians coped with war, modernism, and a world that was changing more quickly than they were. This is a story of resilience and idealism, of violence and small-mindedness, of a world that has long disappeared and one that remains with us to this day.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.005 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.056 | 0.011 |
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".