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 US and Japan have successfully demonstrated one of grid computing's long-standing holy grails - dynamic, on-demand provisioning of bandwidth and interoperability between high-performance resources in two national research testbeds. The automated interoperability between Japan's G-lambda project and the US's Enlightened Computing project was demonstrated 11 September at the annual Global LambdaGrid Workshop (http://news.ncsu.edu/releases/2006/sept/documents/global lowbargrid.pdf) in Tokyo. The demonstration featured some of the most advanced research facilities in both nations, highlighting new middleware capable of reliably coordinating both network and computational resources as well as other protocol and interface technologies. Advances in grid computing technology have tended to focus on large-scale research deployments like this one, but smaller deployments are beginning to get headlines as well. This shift could change the way we view this field-as long as grid architects are willing to expand their vision of a grid beyond raw network speed and CPU aggregation
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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