Developing Minimally Impactful Protocols for DNA Analysis of Museum Collection Bone Artifacts
Bibliographic record
Abstract
This study has addressed the issue of destructive testing on museum collection artifacts from two perspectives. Firstly, interviews were conducted with museum professionals from across Canada to identify their specific concerns regarding access to their collections. Secondly, this information was then used to help develop a minimally impactful DNA sampling technique that may lead to greater access to museum collections for research. The development of this sampling technique involved successive rounds of testing conducted on bone samples including modern samples, unmodified archaeological samples, and museum artifacts from two different museums. The DNA sampling was done using a precision hand drill which produced a small amount of bone powder collected for analysis and species identification. The results from the study indicate that it was possible to develop a successful, comprehensive and reliable minimally impactful DNA sampling technique that is tailor-made to address the concerns and ethical responsibilities of museum professionals.
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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 | 0.036 | 0.044 |
| Meta-epidemiology (narrow) | 0.002 | 0.003 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.003 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 0.009 |
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".