Bibliographic record
Abstract
Pictured is the vessel "Black River, originally named "Sir Issac Lothian Bell." The “Sir Isaac Lothian Bell” was built in 1896 by F.W. Wheeler & Co. of West Bay City, Michigan. The steel barge experienced numerous ownership transfers and name changes. From 1896 until 1901, she was owned by the Bessemer Steamship Co., of Duluth, Minnesota. In 1901, she was purchased by the Pittsburgh Steamship Co., of Cleveland, Ohio. They owned her until 1936, when ownership was attained by Pigeon Timber Co., Ltd., of Port Arthur, Ontario, Canada. Under their ownership, she was renamed “Blanche H.” In 1938, she was purchased by Lakehead Transportation Co., Ltd. of Fort William, Ont. They owned the vessel until 1942, when ownership transferred to Great Lakes Lumber & Shipping, Ltd., also of Fort William. From 1949 until 1979, she was owned by Quebec & Ontario Transportation Co., Ltd., of Montreal, Canada. They renamed her “Black River,” and in 1952, she was converted to a motorship. From 1979 until 1983, she was owned by Carib Sud Co., of Port Colborne, Panama. When ownership transferred, she was renamed “Tuxpancliffe.” In March 1983, the vessel was scrapped in Corpus Christi, Texas.
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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.530 | 0.299 |
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".