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
Lately, something called eco‐hydrology has blazed forth as the next big thing in hydrologic science. A series of four papers on the topic appeared in Advances in Water Research last year [ Rodríguez‐Iturbe et al ., 2001]. Before that, in 1996, the International Hydrology Programme (IHP) initiated a new project under the title of eco‐hydrology [ Zalewski et al ., 1997]; and the AGU Spring Meeting, also in 1996, included a special session on eco‐hydrology. Since then, a book of edited contributions has appeared [ Baird and Wilby , 1999], and eco‐hydrology was the topic of both a “vision for the future” in Water Resources Research [Rodríguez‐Iturbe, 2000] and the Langbein Lecture at AGU's 2000 Spring Meeting. Another session on the topic will be featured at this year's AGU Spring Meeting, and a Chapman Conference on Eco‐hydrology of Semiarid Landscapes will be held in September 2002.
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) | 0.002 | 0.001 |
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