Bibliographic record
Abstract
Research Note Rainbow's Guns -What and When? Mark TunnicliffeL'histoire officielle du Service Naval du Canada, publiée en 1952, contient des erreurs dans le descriptif de l'armement de HMCS Rainbow, l'un des deux croiseurs d'entrainement achetés à la Grande Bretagne en 1910.Ces erreurs ont entrainé d'autres encore plus graves dans une histoire, non-publiée mais très répandue, du service canadien du Rainbow par le Service Historique Naval en 1961.Afin de corriger ces erreurs il est essentiel de comprendre l'armement monté sur le Rainbow à ses origines avec la Royale britannique en 1892As we approach the centenary of the establishment of the Royal Canadian Navy (RCN), there is a renewal of interest in the origins of the fleet and its first ships.Anyone interested in researching the characteristics of His Majesty's Canadian Ship (HMCS) Rainbow, the first warship purchased for the Naval Service of Canada, 1 can consult a variety of books for a listing of her technical specifications and, with respect to her armament at any rate, get almost as many different answers.While all references agree that Rainbow was equipped with two 6-inch guns mounted singly on the fo'c'sle and quarterdeck, they vary considerably in their description of her secondary armament.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.014 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".