Resumee of the 42<sup>nd</sup>Mechanical Working and Steel Processing Conference
Bibliographic record
Abstract
The Iron & Steel Society's 42nd Mechanical Working and Steel Processing (MWSP) conference was held in Toronto, Ontario, Canada, October 22–25, 2000. ISS President Alan Cramb welcomed more than 360 persons. Eleven committee meetings were held at this year's event preceded by a conference short course on non-destructive evaluation techniques in the steel mill and related industries. A special feature of the conference was the Paul Repas Memorial Symposium. The symposium, composed of the four product metallurgy sessions, was held in honour of the late Repas, who worked as a research fellow at U.S. Steel from 1965 to 1998. Sessions included a review of Repas' life work, which involved structural property relationships in high strength steels. Out of 364 registrations, there were 186 international conference attendees. In the technical sessions, U.S. presenters accounted for 30 papers, while international presenters accounted for 68 papers. Successful and well-attended tours to the DoSol Galva continuous hot dipped galvanized and galvanneal line, the operation of which was unfortunately interrupted, and the hot strip mill/roll shop at Dofasco Inc., Hamilton, Ontario, wrapped up the conference. Next year's Mechanical Working & Steel Processing Conference will be held in Charlotte, N.C., October 28–31, 2001.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.305 | 0.165 |
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".