Designing a copper mineral processing plant in virtual reality: A new tool for mining engineering education
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
In 2021, Queen’s University partnered with BBA Engineering Consultants to build a full-scale, virtual reality copper sulphide mineral processing plant. This project, financially support by e-Campus Ontario, aims to prepare Ontario post-secondary institutions to increase their training capacity in mineral processing to meet projected labour demands. The tool includes an environment where engineering students can work in real-time to diagnose problems in a high-fidelity and safe manner using virtual reality to sharpen real-life problem solving and design skills, so students are workplace-ready for employment in the mining industry. This paper examines the design process beginning with conceptual design, through detailed design and pilot testing. Various aspects of the project are discussed, including the agile project management approach, the importance of considering pedagogical objectives early in the project, the value of partnering with industry, and plans for further development of the tool.
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.
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 | 0.001 |
| 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