The “Collections Risk Management” Program at the American Museum of Natural History
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
In addition to the wear and tear of time and exposure that normally endanger museum collections, larger scale events such as September 11, 2001, the Northeast Blackout of 2003, Hurricanes Kathna and Irene and the Virginia Earthquake of 2011 have emphasized the threats to collections and underscored the importance of a comprehensive approach to risk planning. In response, the American Museum of Natural History has been steadfastly committed to identifying a complete picture of its collections priorities, and is accomplishing an overall risk assessment of its research, exhibit and library/archive collections. The assessment model used for this three-phase project is based on the Cultural Property Risk Analysis Model (CPRAM) developed by Robert Waller and colleagues at the Canadian Museum of Nature and adapted to accommodate the specific needs of a large, complex institution. These assessments have provided AMNH administrators with information crucial to making long-term strategy and policy decisions about reducing and mitigating risks to collections.
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 | 0.012 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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