Bibliographic record
Abstract
When Gerald Nicholson wrote his authoritative history of the Royal Newfoundland Regiment, World War I was fifty years distant and World War II almost twenty.These wars had enormous consequences for Newfoundland.In 1914 Newfoundland was an independent country with its own legislature and control over its internal affairs.By the early 19305 the country had plunged into debt and forfeited its legislative independence.For nearly fifteen years it was ruled by a Commission of Government.Unable to defend itself in World War II, it endured a friendly occupation by the Americans and the Canadians.The end of the war brought confederation with neighbouring Canada and the integration of a small country into a larger national polity.Britain's oldest colony was now Canada's newest province.The Fighting Newfoundlander was commissioned by the Government of Newfoundland as a commemorative piece to mark the fiftieth anniversary of the First Five Hundred being sent overseas, the country's initial contribution to the imperial war effort.In 1964, when it was first published, there were few remaining connections with the events of 1914-19: the Newfoundland of the Smallwood era bore little resemblance to the small country that had sent soldiers off to war fifty years earlier and only a small contingent of veterans remained who had served with the regiment overseas.And yet World War I continued to be remembered and commemorated as an event of singular importance.Memorial
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.641 | 0.538 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".