Building the Beaty: Creating, Maintaining, and Growing a Publicly Accessible Biodiversity Museum Collection in the Pacific Ring of Fire
Bibliographic record
Abstract
Eight years from the grand opening of the Beaty Biodiversity Museum (BBM) at the University of British Columbia (UBC) in Vancouver, British Columbia and the museum is going strong. Having gone through many changes developing the procedures and policies that both protect and showcase its invaluable collections, the BBM is a pertinent case study for dealing with the issues that come with setting up a natural history museum in the Pacific Ring of Fire. Unique in Canada and perhaps the world, the BBM has all of its collection space publicly accessible. All the displays and exhibits are contained within the collection storage area and are thus subject to all that comes with public display. This coupled with being located in Vancouver British Columbia, an earthquake prone region, makes building and maintaining a natural history museum quite the task. From the onset, planning the building and storage space created a complex suite of issues with building code, collection protection, and public access. Balancing between the various needs pulling the design and building construction in different directions has seen the BBM develop in many unique and interesting ways to utilize, protect and exhibit its over 2 million specimens. Meeting British Columbia’s strict earthquake, fire and safety codes coupled with housing UBC’s collections made for a museum with a distinctive set of problems. From the gargantuan task of moving the collections, to insect infestations and floods there are many events that would give any museum worker nightmares. There have been multiple conservation projects and a huge digitization initiative across collections. Major expansions in the exhibits, education, policies, and evaluation realms mean our work is always changing. Now well into our eighth year, the BBM has gone through many changes. Always growing the collections, while constantly adapting to our ever-changing community’s needs, the BBM has been able to expand its exhibits, program offerings, and profile all while maintaining the utmost in collections care and conservation.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.024 | 0.006 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.005 | 0.014 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.021 | 0.004 |
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".