The Disaster Information Specialist: An Emerging Role for Health Librarians
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 This article describes the emergence of disaster information (DI) specialists, with particular focus on their presence in health libraries. Although literature on the subject of disasters and libraries is dominated by accounts of librarians preserving collections and ensuring continuity of library operations following a flood, fire, or other disaster event, the work of DI specialists extends beyond these traditional roles. DI specialists conduct outreach in the community, providing information services to emergency managers and other disaster workers. This article recounts a history of disaster information service in which public librarians served communities during disaster recovery periods, and health librarians became involved in organizational disaster planning activities. DI products from the National Library of Medicine are introduced in addition to federal funding opportunities for DI outreach projects. The development of the Medical Library Association's Disaster Information Specialization Program is presented, and the article shares recommendations for library administrators to encourage DI training for librarians and support the development of outreach services to disaster workers.
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 | 0.001 | 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 | 0.010 |
| 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