âNecessary Stepping Stonesâ: The Transfer of <em>Aurora</em>, <em>Patriot</em>, and <em>Patrician</em> to the Royal Canadian Navy after the First World War
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Canadians seem to have difficulty in understanding the importance of naval forces in the defence of their nation. Twice in the early years Canada took the first steps towards the creation of a useful fleet, but then lost interest. The acquisition of Niobe and Rainbow for training the nascent Royal Canadian Navy (RCN) in 1910 was a good beginning, but even before the First World War broke out in 1914, the governmentâs priorities changed. A second, more promising start was made immediately after the end of hostilities. In the spring of 1919, hesitant discussions began which led to the commissioning of His Majestyâs Canadian Ships Aurora, Patriot and Patrician in November 1920. But why were these particular three chosen, and were they of any value?
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.008 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.006 |
| Open science | 0.010 | 0.004 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it