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 year is 1970. An engineer with one of the world's most innovative protective relay developers glides an office chair back toward her desk. She sits in a massive, windowless room lit by high-bay fluorescents; the low hum of fans is the only soundtrack to her work. She checks the system specification again, squints toward the wall behind her, and finally gets up to reconfigure the final components. The perimeter of the room is lined with panels of analogue circuit components - thousands upon thousands in total - and she's spent the better part of a week reconfiguring them. With several other groups waiting to use the analogue simulator, she's been working as quickly as possible. Her motivation is no more than a series of satisfying clicks: the tripping of electromechanical distance protection relays, which will give her team the confidence to provide the technology to a customer in a novel network context. To see the relay operate in response to a true, albeit scaled-down, fault signal in the laboratory environment - that assurance is worth the unprecedented investment in the equipment that surrounds her.
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 | 0.000 | 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