Bibliographic record
Abstract
THE CARNAGE OF WORLD WAR I changed Newfoundland. When the debt for the conflict came due during the Great Depression, it was too much for the small dominion to bear; responsible government itself was surrendered by a near bankrupt state. The loss of lives, more than 1500 young soldiers, out of a total population of less than 250,000, added to sentiment among subsequent generations that Newfoundlanders had paid too high a price in the futile “war to end all wars.” Yet, despite these costs, notions of war as a glorious and noble undertaking survived. Newfoundland emerged from the war with a heightened sense of its national identity. In this, the island dominion was, of course, not alone. Many former British colonies came to see their participation in World War I as a stepping stone in their transition from colony to nation. More often than not, these nationalist interpretations of the war focused on a single exciting and dramatic engagement. To this day, many Australians recount the attack on the beaches of Gallipoli as the moment of the country’s national awakening. Similarly, many Canadians view the victory at Vimy Ridge (Easter Monday 1917) as second only to 1 July 1867 as a critical juncture in the development of a new, independent Canadian nation.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.029 | 0.007 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.015 | 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".