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 the past decade we have seen significant advances in the reliability and performance of commodity computing elements, such as processors, disks and network devices. Processors, in particular, have increased the computational power available in desktops and laptops. The advent of these reliable and powerful off-the-shelf computational elements has also spurred a new generation of high performance computing systems. These systems, so-called commodity clusters, have become a mainstay of today's high-performance computing facilities. With today's processors now comprised of multiple cores, such systems may include thousands or tens-of-thousands of processing elements connected by commodity networking and using storage comprised of commodity disks and devices. System and communication software provides the 'glue' that enables these processing elements to operate in parallel. Applications from a growing number of disciplines must be adapted to execute in parallel, but then can address significantly more complex problems or to analyze significantly greater amounts of data. Today, these parallel clusters dominate the top 500 supercomputing facilities in the world.
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 | 0.000 | 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