Long-Term Storage of Small Natural History Specimens Using Gelatin Capsules: A Case Study from the Royal Alberta Museum
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 Museums use gelatin capsules to store small objects and specimens, despite limited documentation of their long-term viability. The Royal Alberta Museum (RAM of Canada) uses gelatin capsules to store seeds, bones, and plant material because of their ease of use, transparency, soft-bodied walls, size availability, and low cost. Recently, RAM staff reported damaged capsules from the palaeontology collections. We evaluated 499 capsules used to store specimens accessioned in 1986 and 1988 and investigated capsule properties using Fourier transform infrared spectroscopy and Oddy testing. Only 4.21% of inspected capsules were dented, cracked, and/or fractured. Based on interviews and testing, we determined that damage to capsules likely resulted during handling (i.e., applied force when opening). We conclude that gelatin capsules offer a good, inexpensive method for long-term storage of small, dried specimens in environmentally controlled conditions. Alternatives to gelatin capsules exist, although their pros and cons require evaluation before use. All storage methods require continuous monitoring for signs of container or specimen deterioration.
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 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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