As British as the King Lunenburg County during the First World War
Bibliographic record
Abstract
"In August 1914, the long-established Germans of Lunenburg County found themselves facing a dilemma: Canada was at war with Germany. They met suspicions of disloyalty with the claim that their roots were deep in the German states of mid-eighteenth-century central Europe, long before unification. They were, then, as British as King George V himself. As British as the King explores life in Lunenburg County at a time when blackouts were enforced, when there were rumours of spies, and when schooners were sunk offshore by U-boats. Intricately and thoroughly researched, this fascinating historical account brings an exquisite level of detail to the history of the war effort on the home front. Historians and Nova Scotians with Lunenburg roots will appreciate author Gerald Hallowell's passion for his subject--a passion that echoes that of his previous work, The August Gales, for which he received the 2014 Democracy 250 Atlantic Book Award for Historical Writing. Features a historical map and 30+ black and white images."--
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.004 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 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".