Performance of "WAMS East" in providing dynamic information for the North East blackout of August 14, 2003
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
The blackout that impacted the U.S. and Canada on August 14, 2003, was notable for its extent, complexity, and impact. It triggered a massive review of operating records to determine what happened, why it happened, and how to avoid it in future operations. Much of this work was done at NERC level, through the U.S.-Canada power system outage task force. Additional background information concerning the event was gathered together by a group of utilities that, collectively, have been developing a wide area measurement system (WAMS) for the eastern interconnection. Like its counterpart in the western interconnection, "WAMS East" has a primary backbone of synchronized phasor measurements that are continuously recorded at central locations. Operational data have been critical for understanding and responding to the August 14 blackout. Records collected on WAMS East demonstrate the contributions that well synchronized data offer in such efforts, and the value of strategically located continuous recording systems to facilitate their integration. This work examines overall performance of the WAMS East backbone, with a brief assessment of the technology involved. Later papers will provide a utility view of the NERC data review and its institutional implications.
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 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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