Bibliographic record
Abstract
The Steel Company of Canada (Stelco) was formed in 1910 with the incorporation of the Canada Screw Co. Ltd., the Montreal Rolling Mills Co., the Dominion Wire Manufacturing Co. Ltd., the Hamilton Steel and Iron Co. Ltd., and the Canada Bolt and Nut Co. Ltd. By the 1920s, the company was the largest producer of steel ingots in Canada. The 1930s saw continued success and expansion of the company as Stelco increased its iron and steel capacity by 50 percent. The company continued to prosper throughout the next several decades, with sales revenues exceeding one billion dollars in 1974. In 1980, the company officially changed its name to Stelco, in order to simplify its name in both the French and English language. The company began to experience financial difficulties beginning with the recession in 1982. The troubles persisted for the next 25 years as a result of a decreased demand for steel, labour disputes, and high steel imports. In 2004, Stelco entered bankruptcy protection. By 2007, Stelco had lost $240 million in its first four quarters after emerging from bankruptcy protection. That same year Stelco was purchased by the United States Steel Corp. Despite efforts to restructure the company, bankruptcy was again declared in 2014.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.009 | 0.020 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.083 | 0.053 |
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".