Bibliographic record
Abstract
"Western Star" was built in 1903, at Wyandotte, Michigan, for M. J. Cummings of Oswego, New York. This steel barge got caught in the storm of 1905 on Lake Superior, but went ashore at Fourteen mile point. It was later released with little damage. In the 1913 storm, after fighting for several hours, it safely reached shelter at Whitefish Bay. On September 24, 1915, while on a trip from Toledo, Ohio to Little Current, Ontario, going full speed, "Western Star" went on a shoal to the north of Clapperton Island, Georgian Bay. It filled and settled below the water as far as the Number 4 hatch, and lay at an angle of 40 degrees, the bow holding fast on the rocks. It was abandoned to the underwriters by its owners, the Cadillac Steamship Co. and a contract entered for salvaging her with the Great Lakes Towing Co. Operations started in the winter of 1915, but on account of storms, were not completed until September 15, 1917. Once operations were completed, "Western Star" was taken to the harbor of Clapper Island. On October 24, 1917, it was taken to Ecorse, Michigan and auctioned off to the highest bidder, Valley Camp Coal Co. Then, it was taken to Midland, Ontario for repairs. Later, it was sold Canadian to Great Lakes Trans. Co. of Midland, Ontario and renamed "Glensila" (1924). It was given yet another name, "Prescott," by its new owner, Canada Steamship Line (1926-1963 - #138214).
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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.821 | 0.779 |
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; the direct Gemma label and the distilled Codex classifier 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".