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
Balling, R. C., 1984. Classification in climatology in Spatial Statistics and Models, G. L. Gaile and C. J. Willmott (eds.). Dordrecht, Holland: Reidel. Google Scholar Barry, R. G., 1978. Recent advances in climate theory based on simple climate models, Prog. Phys. Geog. 3, 119–131. Google Scholar Barry, R. G., A. D. Hecht, J. E. Kutzback, W. D. Sellers, T. Webb, and P. B. Wright, 1979. Climatic change, Rev. Geophys. Space Phys. 17, 1803–1813. Google Scholar Chang, J. (ed.), 1977. General Circulation Models of the Atmosphere, vol. 17, Methods in Computational Physics. New York: Academic Press. Google Scholar Craddock, J. M., 1973. Problems and prospects for eigenvector analysis in meteorology, Statistician 22, 133–145. CrossRef Google Scholar Erbs, D. G., S. A. Klein, and J. A. Duffie, 1982. Estimation of the diffuse radiation fraction for hourly, daily and monthly average global radiation, Solar Energy 28, 293–302. 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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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