Early Experiencs with a Web-Based Distance Course on Corrosion
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract The exponential growth in Internet technologies has made the Web an efficient information vehicle. Modern Web editing tools facilitate the design and implementation of Web information systems that can meet the needs of a diverse population. In this context, Web-based training (WBT) has become a unique method for delivering training to individuals anywhere in the world at any time. However, a considerable amount of time and effort is required to produce course content into an Internet format. This paper presents a prudent approach to WBT development to avoid some of the pitfalls facing the introduction of such new technology in the virtual classroom, while providing the means to test new concepts before the creation of full-scale training packages. A description of the corrosion and control course presently offered by RMC Division of Continuing Studies illustrates some of the principles put forward.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it