Student Work in VCC Libraries: From Mannequins in the Library to a Car on the Third Floor
Bibliographic record
Abstract
A range of student creations decorates Vancouver Community College Libraries. These showcase products from trade and design programs. The downtown campus library features mannequins with clothing designed and created by students in addition to display cases of student-made jewelry. We also exhibit styled wigs from students’ trades skills competitions and framed illustrations from the digital graphic design and drafting programs. The Broadway library has a small study room that the college’s Automotive Collision and Refinishing (ACR) department created from a Smart Car. ACR students also paint our book trucks to practice different designs, techniques, and finishes. Displaying student projects makes the library space more visually interesting. Moreover, the ACR contributions are functional items for the library’s operation. Displaying student projects also facilitates library outreach with shop- and studio-based programs. Furthermore, the work aligns with VCC’s provision of experiential learning. This project report outlines a successful partnership for library outreach with instructional departments. It includes lessons learned about internal and external communication in project management and what we attribute our successes to for our related event planning.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.024 | 0.006 |
| Scholarly communication | 0.012 | 0.005 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.050 | 0.013 |
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".