Bibliographic record
Abstract
Abstract NOTE: The first page of text has been automatically extracted and included below in lieu of an abstract Session 3213 Session 3213 Framework for a Computer Based Corrosion Course M.A.A. Tullmin and P.R. Roberge Department of Chemistry and Chemical Engineering Royal Military College of Canada, Kingston, Ontario, Canada, K7K 7B4 Abstract A framework for a computer based corrosion course has been developed, with a view to distance learning applications. Potential advantages of the computer based learning approach over a conventional course offering include access to a larger target population and optimization of the shrinking expert instructor pool. However, experience has shown that, despite advances in software applications, an enormous investment in professional time in planning and developing the course material is required. This computer based corrosion course is unique, in that emphasis has been placed on quantitative material, rather than on more descriptive subject matter often found in existing corrosion education products. The course was also designed to be fundamentally interactive in nature, with the use of situational case studies and assignments, in direct contrast to some approaches of re-creating books in hypertext format. Course modules have been created initially in paper based format, to place the scientific/technical course content on a sound footing. Selected case studies and assignments have subsequently been designed in electronic format to develop skills in applying the knowledge and understanding gained from the paper based course notes. Following detailed planning, additional work is underway to present further selected material in electronic format. 1. Introduction Corrosion Science and Engineering (CSE) is an important element of chemical engineering education, at both the university student and practicing professional levels. For the purposes of this paper these two populations will simply be referred to as “the students”. While not all chemical engineering university students receive formal education in this field, most chemical engineers can be expected to have to deal with corrosion damage in technical and/or managerial capacities. At the Royal Military College of Canada (RMC), CSE is an integral part of the Chemical and Materials Engineering program in the Department of Chemistry and Chemical Engineering.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.091 | 0.039 |
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".