Photo Essay: HMCS <em>Haida</em>
Bibliographic record
Abstract
In Canada, historic naval ships are not as plentiful as in the United States but their history is just as rich. Although Canadaâs naval tradition is a young one, officially starting with the Naval Act in 1910, the legacy is a lasting one that continues to thrive up to the present with the commissioning of the new City Class Frigates. Canadians have chosen to preserve three of the many ships that saw service in WWII. Two of them, the corvette HMCS Sackville and COS Acadia are in Halifax and the other, the destroyer HMCS Haid, is in Toronto. The post-war vessel HMCS Bras DâOr is also preserved. It is very likely that other ships will be saved in this way with current plans to bring HMCS Fraser to Kingston, Ontario. It is sometimes hard to believe that you can actually still stand on the decks of some of the most famous ships in Canada but there is no doubt about the thrill of such an act once you are aboard. The following photo essay gives you a glimpse into HMCS Haidaâs past but to really feel it you should come aboard.
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.004 |
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; both teacher heads 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".