Bibliographic record
Abstract
Vigilant came not only late to the sail trade, but stayed late. While there were still ships being launched in the early 1920s, a result of the wartime shipping boom, most had short lives. Vigilant was the exception. Vigilant and another 4-masted schooner, Commodore, achieved local notoriety when they would “race” between Honolulu and Puget Sound in the twenties and thirties. Vigilant was generally considered the faster of the two, but the whole idea of sailing ships racing made too much good copy to not be repeated. In addition, there are many photographs of these two ships because the schooners worked so long into the twentieth century. \nVigilant was a lumber schooner and remained in that trade throughout its career. Vigilant was an up-to-date sailer with steam winches, stockless anchors, and large carrying capacity. The square yard across its foremast is another characteristic of many latter-day west coast schooners. The photograph, 30c, obviously taken from an airplane, may be of Vigilant in Lake Union. The last photograph, 30d, shows to what depths old ships can sink—a pirates’ picnic. \nVigilant hauled lumber up and down the Pacific coast and to Hawaii for U.S. owners (E. K. Wood Lumber Company) until 1940. During this time Vigilant was captained by Matt Peasley notable as the “Cappy Ricks” of Peter B. Kyne’s sea tales. In 1940 Vigilant came under Canadian ownership and was renamed City of Alberni. In 1946, City of Alberni burned.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".