Bibliographic record
Abstract
In a senior undergraduate course, collaboration between the Environmental Systems Engineering (EVSE) program and Facilities Management (FM) was initiated to provide support to the campus and valuable learning and leadership opportunities for students. A list of potential projects related to the curriculum was developed in consultation with FM employees, the President’s Advisory Committee onSustainability (PACS), and EVSE. The intent of the team projects is to support the strategic plan goals set out bythe University of Regina and Faculty of Engineering and Applied Science by providing high quality, timely educational opportunities with practical, immediate, and sustainable recommendations. The projects and approach to project management include significant elements of leadership, organization and management, communications, and engineering application. Students were provided with project ideas encompassing weighty challenges aligning the interests and expectations of FM and EVSE to result in both short-term and long-term impacts and benefits. In an era of cost-cutting and budget constraints in higher education, the projects allow students the opportunity to provide meaningful recommendations that stretch their engineering and leadership skills while supporting vital evaluation, efficiency and design improvements, and environmental systems analysis incorporating best practices of economics, public attitudes, environmental and public health, team work and management, and communications. Student feedback indicates a high level of satisfaction with the concept of service learning on campus and improved team work and leadership skills development over the course of the semester.
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".