“The Army Origin of the Royal Canadian Navy”: Canada’s Maritime Defences, 1855-1918
Bibliographic record
Abstract
In 1954 army historian George Stanley claimed that naval initiatives from the eighteenth century to the 1870s by the French and British armies in Canada and the local land militia were the true roots of the Royal Canadian Navy. He privately admitted that he was being intentionally provocative. The present article, however, reviews subsequent scholarship and offers new research that strengthens Stanley’s findings, and shows that the Canadian army continued to promote the organization of naval forces after the 1870s. The army, moreover, lobbied for the founding of the Royal Canadian Navy in 1910, and supported the new service in its troubled early years. En 1954, l’historien de l’armée George Stanley a affirmé que les initiatives navales entreprises du 18e siècle aux années 1870 par les armées française et britannique au Canada et par la milice terrestre locale étaient les véritables racines de la Marine royale canadienne. Par contre, il a aussi admis en privé qu’il avait été délibérément provocateur. Le présent article passe en revue les études ultérieures et propose de nouvelles recherches qui viennent renforcer les conclusions de Stanley et indiquent que l’armée canadienne a continué de promouvoir l’organisation des forces navales après les années 1870. De plus, l’armée a fait pression en faveur de la fondation de la Marine royale canadienne en 1910, puis elle a appuyé le nouveau service au cours de ses premières années tumultueuses.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.023 | 0.009 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 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".