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
Survey activity identified more than one hundred needs for standards to facilitate communications among government and public service entities that respond to disasters and other emergency incidents. Message Sets for Incident Management was designated one of the seventeen most critical standards for Intelligent Transportation Systems. Government agencies and professional societies established the IEEE Incident Management Working Group (IMWG) to develop message sets for incident management. IMWG has been tasked to develop a standard that is open, flexible, and interoperable, to enable common communications between all incident management agencies. This will be accomplished through the participation and representation of relevant associations and agencies – law enforcement, fire and rescue, medical, and hazardous materials (HAZMAT), industry, and the academic community. The process for development and progress toward the standard IEEE1512 are outlined. Message standards including detailed definitions of terms to insure proper understanding are incorporated. Message sets are validated through table top exercises involving operational personnel. Major portions of the standard are complete and have been published. It is anticipated that this standard will greatly enhance disaster communications efficiency and effectiveness.
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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 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