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 future of geoscience computing will depend on four critical areas: communications, computer hardware, graphics visualization hardware and software, and geoscience software development and utilization. The first two, and perhaps three, of these areas depend on technology developments outside the geosciences. And these areas are expanding with increasing speed. In fact, it is not hard to imagine a computing environment in the near future in which communications distance has shrunk to zero and computing resources have grown to infinity. Obviously, this is an exaggeration, because no matter how advanced our technology gets, there will always be users who want more bandwidth or disk space or a faster CPU. However, we are getting close to the point where a lack of technology is no longer the problem we face. Rather, and this brings up the fourth of the above points, we increasingly face a lack of skilled technology practitioners. In other words, who will be writing the software that takes full advantage of the new hardware, and who will be making full exploration use of the software?
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